Top 10 Python Development Companies [Updated 2024]

18 min readSep 21, 2023

In a world increasingly driven by technology, the demand for Python development companies has reached unprecedented heights. Python, renowned for its simplicity, versatility, and robustness, has become the language of choice for many businesses looking to build web applications, AI solutions, data analysis tools, and more.

With the surge in demand, numerous Python development companies have emerged, each claiming to be the best in the field. To help you navigate this crowded landscape, here is a list of the top 10 Python development companies that stand out in expertise, innovation, and client satisfaction.

1. Glorium Technologies

Glorium Technologies offers tailor-made technology consulting services and software development. They have a grand track record of delivering high-quality products to startups and businesses of various sizes worldwide, with over 100 deployed products in their portfolio.

With a team of 200+ professionals, they hold several ISO certifications, such as ISO 9001 for Quality Management, ISO13485 for Quality Management for Medical Devices, and ISO 27001 for Information Security Management Systems. Moreover, being a Microsoft Silver Partner, they specialize in providing solutions on Microsoft’s technology stack.

Hourly rate: $50 — $99 / hr
Employees: 250–999
Founded: 2010
Awards:

Inc.5000 (2020, 2021, 2022, 2023)
Inc. Regionals (2021, 2022) fastest-growing private companies in America
The 2023 Global Outsourcing 100 by IAOP
Real Leaders Impact Awards (2023)
Top B2B Service Providers for Sustained & Fast Growth in Clutch (2021)
Top 1000 Global Service Providers in Clutch (2022)
TechBehemoths’s Top Custom Software Development Companies in the US (2022)

2. Epam

EPAM Systems stands out in digital and physical product development and offers top-notch services for digital platform engineering. This positions the company as a leading force in the forefront of the industry.

EPAM’s success can be attributed to its innovative strategies, extensive advisory and consulting expertise, creative design capabilities, and a distinctive Engineering DNA that permeates all its endeavors. Using globally dispersed hybrid teams, EPAM actively shapes a tangible future for its clients and global communities.

Hourly rate: $100 — $149/hr
Employees: 10,000
Founded: 1993
Awards:

Top 20 fastest growing firms by Consulting Magazine 2022
Ranked four times as the top IT services company on Fortune’s 100 Fastest-Growing Companies list
Awarded LinkedIn’s Best Culture of Learning Talent Award 2021

3. Edvantis

Edvantis, a software development vendor, offers a diverse range of customized collaboration options meticulously crafted to cater to the distinctive needs of its clients. They present a delineated selection of outsourcing models thoughtfully designed to cater to clients’ immediate needs while retaining the adaptability required for future business expansion.

Whether clients are novices in IT outsourcing or seasoned experts in managing large-scale software development teams, Edvantis guides them toward the most fitting approach to transform their ideas into reality. Through collaborative efforts, they architect efficient technical solutions and provide ongoing support to nurture their clients’ sustained growth.

Rate: $50 — $99/hr
Employees: 250–999
Founded: 2005
Awards:

2023 Global Outsourcing 100® list produced by IAOP®
Silver Winner of International Business Award 2022 by Stevie
Top IT Services & Consulting Company by Designrush.com
Top Custom Software Development Company by iTRate.co

4. Sigma Software Group

Sigma Software Group specializes in software development and consulting, boasting a formidable workforce of over 2000 professionals. Their expertise extends to a wide-ranging clientele, from startups to Fortune 500 enterprises.

Their service portfolio spans a broad spectrum, encompassing software solutions, digital transformation initiatives, and web and application development.

Rate: $50 — $99/hr
Employees: 1,000–9,999
Founded: 2002
Awards:

2023 Global Outsourcing 100® list produced by IAOP®
Top B2B companies 2021 by Clutch global
Winner of the EGR B2B Award 2020
Top App Development Software by GoodFirms

5. Waverley

Waverley is a prominent software engineering company with a global presence, boasting offices in the United States, Australia, Latin America, Eastern Europe, and Southeast Asia. They are renowned for their dedicated teams, which specialize in crafting software products for both tech giants and innovative startups.

Their diverse clientele hails from various industries, including Robotics, Smart Homes, FinTech, Healthcare, and more. Waverley aims to design impactful products that address tangible real-world challenges. Their mission focuses on improving people’s lives and is the guiding force behind all their endeavors.

Rate: $50 — $99/hr
Employees: 250–999
Founded: 1992
Awards:

Top 1 Cloud Consultants by Clutch, 2023
Top 1 Custom Software Developers in Vietnam by Clutch, 2023
Top 1 Robotics Companies by Clutch, 2023
Top 5 Custom Software Developers in Ukraine by Clutch, 2023
Top 5 Custom Software Developers in Latin America by Clutch, 2023
Top 5 Top Australia Custom Software Developers by Clutch, 2023
Top 5 Staff Augmentation Services by Clutch, 2023

6. ELEKS

ELEKS is the trusted partner of numerous global enterprises, SMEs, and technology pioneers. Their forte lies in assisting businesses to enhance their worth through custom software development, product design, meticulous quality assurance, and consultancy services. ELEKS sets itself apart through its steadfast commitment to delivering tangible value to its clients.

They go beyond being mere service providers and accord equal significance to the success of their clients. ELEKS willingly shares the development risks with their clients, empowering them to embrace new technologies and pursue their goals with unwavering confidence.

Rate: $50 — $99/hr
Employees: 1,000–9,999
Founded: 1991
Awards:

Top 1000 Global Companies in 2022 by Clutch
Cybersecurity Excellence Award 2021
AI/ML Team of the Year
Top App Development Companies 2023
Top Software Developers in 2021 by Clutch
Best of the Global Outsourcing 100

7. CHI Software

CHI Software, a software development service provider with 16 years of experience in the global IT market, operates with a strong presence across various parts of the world, including the US, the Republic of Cyprus, Ukraine, and Japan.

Their dedicated team of skilled software developers, business analysts, architects, and UI/UX designers is enthusiastic about cutting-edge technologies such as Cloud Computing, Big Data, Artificial Intelligence, and IoT. CHI Software’s achievements are rooted in their commitment to client satisfaction.

Rate: $50 — $99/hr
Employees: 250–999
Founded: 2006
Awards:

The Top Software Development & Software Testing Company 2023, according to DesignRush
The Top AI Companies In December 2022, According To DesignRush

8. LANARS

LANARS operates as an international hardware and software development company with a diverse portfolio of services. Their offerings encompass the Internet of Things, Industrial IoT solutions, mobile application development, website creation, CRM & ERP systems, and tailored enterprise solutions.

The company’s core ethos revolves around simplifying the process of bringing significant innovations. LANARS aims to eliminate complexity and ensure that innovations are accessible and effortless for businesses of all types.

Rate: $50 — $99/hr
Employees: 50–249
Founded: 2015
Awards:

Top IoT Development companies on Goodfirms
Top Internet of Things companies on Clutch
Top 100 Global IoT Developers Ranking on The Manifest
DOU Top-5 Best Employers Ranking in Dnipro 2022

9. OVERCODE

Overcode is committed to raising the bar for product excellence among its clients. Their core proficiency resides in React.js and Next.js software development, catering to the needs of startups and established enterprises. Overcode tackles business challenges with a dedicated emphasis on state-of-the-art technology and inventive problem-solving.

Notably, Overcode’s clients have cultivated fruitful collaborations with renowned brands such as LinkedIn, Twitch, and SAP, and some have even garnered acquisition interest from tech industry titans like New Relic.

Rate: $50 — $99/hr
Employees: 50–249
Founded: 2020
Awards: NA

10. N-iX

N-iX is a globally acknowledged provider of software solutions and engineering services, empowering leading enterprises to turn challenges into lasting business benefits. They concentrate on elevating operational effectiveness, fostering revenue expansion, and harnessing technology innovations.

Whether you need custom-tailored software solutions, digital product modernization, or access to advanced tech expertise, they possess the knowledge and resources to ensure your success.

Hourly rate: $50 — $99/hr
Employees: 1,000–9,999
Founded: 2002
Awards:

Rising Star in the 2021 edition of ISG Provider Lens™ Public Cloud Services and Solutions for the UK market
N-iX is listed among the top 50 global organizations in the 2023 EMEA Inspiring Workplaces Awards
CRN has named N-iX to its 2023 Solution Provider 500 List
N-iX was named on the 2023 Global Outsourcing 100: seven years of recognition
Modern Application Development services providers by Forrester
N-iX Ranks №38 on the 2022 CRN Fast Growth 150 List

How to Select a Python Development Company?

Selecting the right Python development company is a critical decision for businesses seeking to harness the power of this versatile programming language. Python’s widespread adoption has surged in recent times, establishing it as the preferred option for a diverse array of uses, spanning from web development to data analytics and artificial intelligence.

To ensure you partner with the best-suited Python development company, it’s essential to establish a set of criteria for evaluation. In this article, we’ll delve into the key criteria used to assess and select Python development companies effectively.

Expertise in Python Development

The first and foremost criterion in selecting a Python development company is its expertise in Python programming. A deep understanding of Python’s syntax, libraries, and frameworks is essential to delivering high-quality solutions. To assess a company’s expertise, you can:

Review their team’s qualifications and certifications in Python.
Evaluate their code repositories on platforms like GitHub.
Inquire about their experience with Python-related technologies such as Django, Flask, or NumPy.

2. Track Record of Successful Python Projects

A track record of successful Python projects is a strong indicator of a company’s competence. Organizations with prior experience in comparable endeavors are better poised to grasp the intricacies of Python development and provide dependable solutions. To evaluate a company’s track record, consider:

Examining case studies of their previous Python projects.
Contacting their past clients for feedback and references.
Analyzing project success metrics, such as on-time delivery and budget adherence.

3. Client Testimonials and Reviews

Client testimonials and reviews provide valuable insights into a Python development company’s reputation and client satisfaction. Reading through client feedback can help you understand the company’s communication, collaboration, and problem-solving capabilities. Look for consistent positive feedback and consider reaching out to their past clients for firsthand information.

4. Innovation and Use of Best Practices

Innovation and adherence to best practices are essential criteria for selecting a Python development company. Python’s ecosystem is constantly evolving, and the best companies stay up-to-date with the latest advancements. To assess their innovation and practices, inquire about:

Their approach to code quality and testing.
Their involvement in the open-source Python community.
Their ability to incorporate modern tools and technologies into projects.

5. Portfolio Diversity

A diverse portfolio indicates a company’s ability to adapt to various project requirements. A Python development firm with a diverse portfolio encompassing web development, data science, machine learning, and automation is better equipped to offer the adaptability required to address your distinct challenges. Review their portfolio to see if it aligns with your project goals and industry.

6. Market Reputation

A company’s market reputation is a culmination of its past performance, client satisfaction, and industry recognition. Reputable Python development companies often receive awards, certifications, and mentions in industry publications. Take into account their reputation within the Python community and their standing in the broader tech industry.

What Python frameworks and libraries are commonly used in development projects?

In the realm of data science, Python has long been the undisputed champion, thanks in large part to its versatility and a rich ecosystem of libraries and frameworks. However, Python alone is not enough to meet the complex and diverse demands of data scientists. This article delves into the data science frameworks that data professionals commonly use in conjunction with Python to enhance their analytical capabilities.

What Python is Used For?

Python is a widely embraced, interpreted programming language renowned for its elevated abstraction level, and it has experienced a substantial surge in recognition over the past few years. Its adaptability and user-friendly nature have endeared it to developers, resulting in its widespread utilization across diverse domains. Below are statistics extracted from JetBrains’ research for the year 2022:

Data Analysis (43%)

One of Python’s most prominent use cases is in the field of data analysis. Its powerful libraries, such as NumPy, Pandas, and Matplotlib, make it an excellent choice for processing, analyzing, and visualizing data. Python’s readability and extensive community support have made it the go-to language for data scientists and analysts.

With Python, professionals can easily manipulate large datasets, perform statistical analysis, and generate informative data visualizations, which are essential for making data-driven decisions in various industries.

2. Web Development (43%)

Python is also widely employed in web development. Frameworks such as Django and Flask simplify the task of constructing robust web applications, rendering Python an excellent selection for individuals ranging from beginners to seasoned developers. Python’s clean syntax and extensive libraries allow developers to create web applications quickly and efficiently.

Moreover, Python’s popularity in web development extends to the backend as well as frontend development, thanks to libraries like ReactJS and Flask for building interactive web interfaces.

3. Machine Learning (39%)

The field of machine learning has seen tremendous growth, and Python has played a pivotal role in its expansion. Python’s libraries, including TensorFlow, PyTorch, and sci-kit-learn, provide the tools and frameworks necessary for developing machine learning models.

Python’s straightforwardness and clarity facilitate experimentation with machine learning algorithms, the handling of extensive datasets, and the formulation of predictive models. This versatility is advantageous for researchers and developers engaged in diverse applications, spanning from natural language processing to image recognition.

5. System Administration / Writing Automation Scripts / Infrastructure Configuration (31%)

Python is a favorite among system administrators and DevOps professionals for automating repetitive tasks and managing system configurations. Its standard library offers modules for interacting with the operating system, networking, and handling files.

Scripting in Python is intuitive, and it is often used to automate routine administrative tasks, monitor server health, and configure infrastructure elements. Tools like Ansible leverages Python for infrastructure provisioning and configuration management.

6. Programming of Web Parsers / Scrapers / Crawlers (30%)

Web scraping and data extraction have become essential for businesses and researchers looking to gather information from websites. Python’s libraries, such as Beautiful Soup and Scrapy, are commonly used for building web parsers, scrapers, and crawlers.

Python’s simplicity and its ability to handle HTTP requests and parse HTML content make it a preferred choice for extracting data from websites for various purposes, including competitive analysis, market research, and content aggregation.

7. Software Testing / Writing Automated Tests (27%)

Quality assurance and software testing are crucial aspects of software development. Python’s testing frameworks, like pytest and unit test, provide developers with the tools to write automated tests and ensure code correctness.

Python’s clean and expressive syntax makes it easier to create readable and maintainable test cases, and its integration with continuous integration (CI) tools simplifies the testing process.

8. Software Prototyping (24%)

Python’s rapid development capabilities make it an excellent choice for prototyping and proof-of-concept development. Developers can quickly build functional prototypes to test ideas and concepts before investing more extensive resources into full-scale development.

Python’s ease of use allows developers to focus on the core functionality of their projects, making it a valuable tool for innovation and experimentation.

9. Educational Purposes (23%)

Python’s simplicity and legibility render it a perfect programming language for educational endeavors. Numerous universities and coding boot camps employ Python as a tool for imparting foundational programming concepts to novices.

Python’s vast online community and wealth of educational resources, including books, tutorials, and online courses, further contribute to its popularity as a learning language.

10. Desktop Development (16%)

While not as common as some other use cases, Python is still employed for desktop application development. Libraries like Tkinter and PyQt enable developers to create cross-platform desktop applications with user-friendly graphical interfaces.

Python’s versatility means developers can use the same language for desktop and web development, streamlining their workflow.

11. Network Programming (13%)

Python’s networking capabilities and libraries, such as socket and Twisted, make it suitable for network programming tasks. It can be used to create network applications, manage network connections, and handle data communication between devices.

Python’s high-level abstractions and robust network libraries simplify complex network-related tasks, making it a valuable tool for network administrators and developers.

12. Embedded Development (6%)

Although less common than other programming languages like C or C++, Python is used in embedded systems development. MicroPython, for example, is a subset of Python designed for microcontrollers and embedded systems. It allows developers to write Python code for resource-constrained devices.

Python’s simplicity and the availability of libraries make it an attractive choice for prototyping and developing embedded applications when hardware resources allow.

13. Game Development (5%)

Python is also used in the game development industry, primarily for building 2D games. Libraries like Pygame provide a framework for creating games with graphics, sound, and user interaction.

Although Python may not be as performance-focused as languages like C++ for game development, it remains a favored option among indie game developers and hobbyists. Its user-friendliness and rapid development cycle make it an attractive choice in these creative pursuits.

14. Computer Graphics (4%)

Python’s libraries, such as OpenGL and PyOpenGL, support computer graphics programming. While less commonly associated with graphics programming than languages like C++, Python can be used for various graphical applications, including creating 2D and 3D graphics, simulations, and visualizations.

15. Mobile Development (2%)

Python is less commonly used for mobile app development, but it is still an option for those who prefer it. Kivy is a popular framework that allows developers to build cross-platform mobile applications using Python.

Python’s code reuse capabilities across different platforms make it attractive for mobile app developers looking to target multiple operating systems with a single codebase.

16. Other (5%)

Python’s versatility knows no bounds, and it finds applications in numerous other domains, including scientific computing, IoT (Internet of Things), finance, natural language processing, and more. Its wide range of libraries and frameworks, combined with its readability and ease of use, make Python a valuable tool for solving diverse problems across various industries.

The Landscape of Data Science Frameworks

The domain of data science encompasses a broad spectrum of activities, including data preprocessing and exploration, machine learning, and data visualization. With its extensive libraries, Python forms the backbone of most data science workflows.

However, data scientists often rely on additional frameworks to streamline their tasks and maximize their data. Here, we explore the key data science frameworks used alongside Python based on a recent survey:

NumPy (62%): NumPy is the go-to library for numerical operations in Python. Python offers assistance for extensive, multi-dimensional arrays and matrices coupled with an array of mathematical functions designed to perform operations on these data structures. NumPy is essential for data manipulation and scientific computing.
Pandas (56%): Pandas is another fundamental library for data manipulation and analysis. It offers data structures like DataFrames and Series, making it easy to handle and analyze structured data. Pandas simplifies tasks such as data cleaning, exploration, and transformation.
Matplotlib (43%): Data visualization is a crucial part of data science, and Matplotlib is a powerful library for creating static, animated, or interactive plots and charts. This capability enables data scientists to convey their discoveries effectively.
TensorFlow (30%): TensorFlow is a popular choice for deep learning and neural network tasks. Developed by Google, TensorFlow offers a high-level API, Keras, for efficiently building and training neural networks. It’s widely used in fields like computer vision and natural language processing.
Scikit-Learn (29%): Scikit-Learn stands as a versatile Python library for machine learning, boasting many algorithms spanning classification, regression, clustering, and beyond. Its user-friendly interface renders it accessible to individuals at various skill levels, from novices to seasoned experts.
PyTorch (28%): PyTorch is a deep learning framework that has gained popularity for its dynamic computation graph and ease of use. It’s favored by researchers and developers for its flexibility and excellent support for custom models.
SciPy (27%): SciPy builds on NumPy and adds more scientific and technical computing functions. It includes optimization, integration, and interpolation modules, making it valuable for various scientific applications.
Keras (19%): While Keras is integrated with TensorFlow, it’s often mentioned separately due to its simplicity and accessibility. It’s an excellent choice for those who want to prototype and build deep learning models quickly.
Seaborn (17%): Seaborn is a statistical data visualization library that works seamlessly with Matplotlib. It simplifies the creation of aesthetically pleasing, informative statistical graphics.
NLTK (8%): The Natural Language Toolkit (NLTK) is a powerful library for working with human language data. It includes tools for tokenization, stemming, tagging, parsing, and more, making it valuable for text analysis and natural language processing.
Gensim (2%): Gensim is a library designed specifically for topic modeling and document similarity analysis. It’s widely used in applications involving large text corpora.
MXNet (1%): MXNet is an open-source deep learning framework with a focus on efficiency, scalability, and ease of use. It’s particularly popular in industries like finance and e-commerce.
Theano (1%): Although its popularity has waned recently, Theano was one of the pioneering deep-learning libraries. It allowed researchers to efficiently define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays.
Other (3%): This category encompasses various lesser-known data science frameworks that cater to specific niche requirements.

Conclusion

The top 10 Python development companies mentioned in this article represent a diverse and highly skilled group of organizations that excel in providing cutting-edge software solutions to clients across various industries. Each of these companies has unique strengths and expertise, making them stand out in the competitive world of software development.

Glorium Technologies, with its extensive portfolio and impressive certifications, showcases its commitment to delivering high-quality products. In my opinion, Glorium is a trustworthy and high-quality company to partner with. However, you need to choose the company for your budget and needs. For example, Epam’s innovative strategies and engineering excellence have earned it a prominent position in the industry. Edvantis offers tailored collaboration options and guidance, while Sigma Software Group’s vast expertise caters to a wide range of clientele.

These companies have consistently received accolades and awards, reflecting their exceptional contributions to the software development industry. As businesses seek to innovate and expand in the digital landscape, these top Python development companies remain trusted partners and leaders in driving technological advancements. Whether you are a startup or a Fortune 500 enterprise, these companies offer the expertise and solutions to propel your success in the digital age.

FAQs: Python Development Companies

1. How to choose the right Python development company for my project?

Consider your project requirements, budget, and timeline.
Evaluate the company’s experience with Python and relevant technologies.
Check client reviews and case studies for their track record.
Request a detailed proposal and compare it with other options.

2. How to determine if a Python development company is experienced in Python web development?

Ask about their Python frameworks and libraries expertise (e.g., Django, Flask).
Inquire about their previous Python web projects and their success stories.
Request code samples or project portfolios to assess their skills.

3. How to ensure a Python development company can handle my specific industry or niche?

Ask for references from clients in your industry.
Inquire about their experience in developing similar projects.
Discuss your industry-specific requirements in detail during the initial consultation.

4. How to assess the quality of a Python development company’s code and development practices?

Review their coding standards and practices.
Request access to their version control system (e.g., Git) to inspect the code.
Conduct code reviews or audits with experienced developers if possible.

5. How to evaluate a Python development company’s communication and project management skills?

Discuss their communication processes and tools (e.g., Slack, Trello).
Inquire about their project management methodology (e.g., Agile, Scrum).
Request regular updates and communication schedules in your project agreement.

6. How to determine if a Python development company can scale up or down according to my project’s needs?

Ask about their team size and scalability options.
Discuss their capacity to handle both small and large-scale projects.
Inquire about their process for adding or removing team members as needed.

7. How to address concerns about data security and confidentiality with a Python development company?

Discuss their data security measures, including encryption and access controls.
Request a non-disclosure agreement (NDA) to protect your sensitive information.
Review their past record of maintaining client confidentiality.

8. How to calculate the cost of hiring a Python development company for my project?

Request detailed project quotes from multiple companies.
Compare the proposed costs, taking into account hourly rates and project scope.
Be clear about any additional expenses that may arise during development.

9. How to ensure that the Python development company I choose will provide ongoing support and maintenance?

Include post-launch support and maintenance terms in your project agreement.
Discuss service level agreements (SLAs) for response times and issue resolution.
Inquire about their track record of providing long-term support to

10. How to make the final decision when selecting a Python development company for my project?

Consider all the factors, including experience, expertise, cost, and communication. Check references and testimonials from previous clients. Trust your instincts and choose the company that aligns best with your project goals and values.