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JetBrains

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5,044 reviews
  • 26 profiles
  • 25 categories
Average star rating
4.5
#1 in 2 categories
Grid® leader
Serving customers since
2000
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JetBrains Qodana

10 reviews

Qodana is a code quality assessment solution for identifying and categorizing critical errors in CI pipelines, such as logic and license problems. You can use Qodana to set up quality gates in your CI pipelines, visualize the state of your code, and increase code readability, scalability, and security.<br>

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Datalore

6 reviews

Datalore is a collaborative, web-based data analytics platform with great notebook experience, that empowers teams to explore, analyze, and visualize data together. It simplifies insight delivery with shared notebooks, AI-assisted coding and seamless data connections, as well as enables impactful, engaging data storytelling. Datalore offers flexible deployment options (Cloud, On-Premises), secure authentication, and GDPR/SOC 2 Type II compliance, for your data to stay safe.

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Junie

5 reviews

JetBrains was founded in 2000. This company provides productivity-enhancing software technology. Their headquarters are located in Nusle, Czech Republic.

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Hub

5 reviews

JetBrains Hub is designed to manage users across Upsource, YouTrack and TeamCity installations, and offers a centralised dashboard for overview of relevant commits, issues, or tests.

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dotUltimate

1 review

The World's Leading Vendor of Professional Development Tools. Creators of IntelliJ IDEA, ReSharper, PyCharm, TeamCity, Kotlin and more.

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MPS

1 review

JetBrains MPS is a meta programming system designed to allow users to create their own domain-specific language.

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JetBrains Academy for Organizations

0 reviews

JetBrains Academy for Organizations is a learning platform designed to upskill developers in key tech stacks. JetBrains Academy offers project-based courses hosted on the Hyperskill platform and supported by JetBrains tools. This approach enables teams to apply new knowledge directly by creating real-world applications using the same professional tools they use daily.

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JetBrains Air

0 reviews

JetBrains Air is an Agentic Development Environment where Codex, Claude Agent, Gemini CLI, and Junie run independent task loops without interfering with one another. It’s designed for developers who build with AI agents every day. Air provides a structured task loop around coding agents: precise task definition in real code context, isolated execution, and intelligent code review — all within a single environment. No more fragmented workflows where you have to stitch together multiple tools just to ship with confidence. With Air, you don’t have to choose between a powerful agent and a powerful environment — you get both. Air brings together popular agents with strong developer tooling — no vendor lock-in, fully agent-agnostic. You can use it with your existing subscriptions: - JetBrains AI (Pro or Ultimate) — includes Claude Agent, Codex, Gemini CLI, and Junie - OpenAI Codex - Google Gemini CLI - Anthropic Claude Agent (API key) Air complements your existing development workflow rather than replacing it. Use Air for agent-driven tasks, and your IDE for everything else. To get started, open a project, create a task, and review the proposed changes. Tasks run locally by default, or can be isolated in Docker containers and Git worktrees for safe, concurrent execution. Air is free to use and powered by AI agents, with a credit-based consumption model. It currently supports macOS (Apple Silicon and Intel), with Windows and Linux support coming soon.

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JetBrains Reviews

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3762
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Sachin G.
SG
Sachin G.
Machine Learning Engineer | AI &amp; Predictive Analytics Specialist | Python, TensorFlow, NLP &amp; Cloud ML | Building Scalable Intelligent Systems
06/16/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

The heavy-lifting IDE for production ML, though it demands a powerful machine.

As a Machine Learning Engineer at a mid-sized tech company, I use PyCharm Professional as my central command station for taking models from the research phase all the way into production. My day-to-day involves pulling messy datasets from our internal warehouses, writing extensive preprocessing pipelines in Pandas, and training deep learning models using PyTorch. Beyond just the data science work, I use it to wrap our trained models into FastAPI applications, configure Docker containers, and manage our deployment code. It is where I write, test, and package everything before it hits our cloud infrastructure.The standout feature for my specific workflow is the remote development capability. Training large models locally isn't an option, and PyCharm allows me to seamlessly link my local editor to our remote GPU servers. I can write and navigate code locally with zero latency, but when I hit run, the code executes on the heavy hardware over SSH. The visual debugger is also a total game-changer for machine learning. Instead of littering my code with print statements to figure out where a tensor shape mismatch occurred, I can pause execution, visually inspect the multi-dimensional arrays, and see exactly what is going wrong in memory. I also have to praise the built-in database tools. Being able to query our PostgreSQL databases, inspect the schema, and directly pull that data into a Python environment without ever switching windows keeps me completely focused.
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
06/13/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Best-in-Class, User-Friendly Java IDE with Powerful Built-In Tools

In my experience, IntelliJ IDEA is the best and most user-friendly IDE for Java. It comes with plenty of useful extensions and built-in tools that I can count on to support my work and keep the development process running smoothly. As a student, I also have access to the premium version, which makes it an even better fit for my needs.
ABDUL MUNAF Z 2.
A2
ABDUL MUNAF Z 2.
06/13/2026
Validated Reviewer
Verified Current User
Review source: Organic

PyCharm Boosts Productivity with Smart Completion and Powerful Debugging

What I like most about PyCharm is its intelligent code completion and strong debugging tools. The IDE catches errors as I write and offers helpful suggestions that speed up development. Its interface is clean and well organized, which makes it easier to manage larger projects without feeling overwhelmed. I also appreciate the convenient integration with Git and virtual environments, since it lets me manage version control and project dependencies in one place. Overall, PyCharm boosts my productivity by cutting down on repetitive tasks and making code navigation much smoother.

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HQ Location:
Prague

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@jetbrains

What is JetBrains?

JetBrains builds productivity software for developers who want to focus more on what they want to accomplish, and less on mundane, repetitive tasks.

Details

Year Founded
2000