JetBrains for Data
Intelligent tools for your entire data workflow
With generative AI included for free in every tool, JetBrains for Data empowers you as a data professional, streamlining your coding and data-related tasks. You have your choice of LLM and retain full control of your data. You can also benefit from dedicated AI agents: Junie in PyCharm for handling routine tasks, and specialized AI agents in DataSpell that support your data-related workflows.
JetBrains for Data keeps you focused on what matters – your data. Enjoy an interactive, intuitive experience with robust support for tables, visualizations, code, AI, and no-code workflows.
Our tools integrate with most popular data platforms, and the list keeps growing. Whether you're a data scientist, a developer who works with data, a data engineer, or a data analyst, you'll enjoy smooth integration tailored to your workflow.
A data agent that runs on your machine, does the work for you, and learns as it goes
The only Python IDE you need to build data models and AI agents
Your powerful cross-platform IDE for relational and NoSQL databases
Your data team’s platform for exploring, analyzing, visualizing, and sharing data
Datalore combines AI-powered notebooks with seamless collaboration, and it’s deployable on-premises or in the cloud. Spin up CPU or GPU compute resources in a click to train models at scale, and dive into data wherever it is – whether in local files or cloud storage – all in one workspace.
PyCharm integrates Jupyter notebooks, offering AI-powered code completion, refactoring, and navigation for both local and remote notebooks. It features AI cells for code generation and refinement, interactive data exploration, and a dedicated Data View tool window for large datasets. You can also convert notebooks to Python scripts, debug, and merge changes visually.
Free forever, plus one month of Pro included
Daniel Cahall
Lead Software Engineer, Disney Streaming
“I work on a lot of Python applications and do some machine learning work... in the AI space at Disney Streaming. I use PyCharm a lot.”
Omar Sarhan
Data Engineer, Geolytix
“I help developers and data scientists work with geospatial data to create models. My work centers on using databases, and DataGrip helps me a lot.”
Hyunsu Cho
Senior Systems Software Engineer, NVIDIA
“We write a suite of open-source projects for data science and AI at NVIDIA. PyCharm helped me to do a major refactor in the XGBoost codebase.”
Lukasz Galezewski
Senior Software Engineer, Allegro
“I work for Allegro, the biggest marketplace in Poland, and I use DataGrip every day. I select data from a database. I check the schema... The usability is very simple.”
Xavi Francisco
Senior Software Engineer, TravelPerk
“I've been a Python developer for the last 15 to 20 years. I think PyCharm is one of the best IDEs for Python development. The things I love most are its testing support and Docker integration.”
David Ariyibi and David Malakh
Software Engineers, Kensho
“Our company builds ML-based tools for financial institutions, mostly S&P Global. We use PyCharm for application development as well as all of database management.”
Richard Tillies, Professor
James Matlock, Assistant Professor
Wake Technical Community College
“We introduce new students to PyCharm, the IDE that we use, and get them ready for that next step in their Python journey.”
PyCharm is the official Python IDE of OpenCV
JetBrains has joined OpenCV, the world’s largest library for computer vision, as a Silver Member.
Python Developers Survey results
An estimated 2 million Python developers use PyCharm for data science, according to the latest Python Developers Survey.
A data agent that runs on your machine, does the work for you, and learns as it goes
The only Python IDE you need to build data models and AI agents
Your powerful cross-platform IDE for relational and NoSQL databases
Your data team’s platform for exploring, analyzing, visualizing, and sharing data
