Speed up your Data Science work with Datalore
Start working in seconds with a pre-setup environment and intelligent code editor. Upload datasets to persistent storage, analyze data, and train machine learning models with powerful CPU and GPU machines. Share your work with a link and invite your team to collaborate.
Use code auto-completion and quick-fixes from PyCharm
Start quickly with pre-installed Python libraries
Generate automatic plots for DataFrames
Execute .py scripts and run sudo commands in Terminal
Learn from in-app documentation
Choose between pip and Conda package managers
Upload files and folders to persistent storage in the cloud
Create secret variables to store credentials
Mount S3 buckets inside notebooks
Navigate through notebooks using the table of contents
Edit notebooks together in real time
Organize the team’s work in workspaces
Share datasets across the team using workspace files
Create history checkpoints and track changes
Publish static copies of notebooks and share them by a link
Export notebooks to PDF, PY, HTML, IPYNB files
Describe data with Markdown and LaTex
Present results with interactive plots
Embed Datalore cells on social networks and other platforms
Use powerful CPUs and GPUs
Switch on unlimited Background computations for long jobs
Share notebooks with edit access with an unlimited number of users
Run unlimited notebooks in parallel
Working with data
Basic machines & limited features for beginner data scientists and analysts.
Powerful machines & unlimited features for advanced data scientists and analysts.
* One-time, after completing a short interview
Have more questions? Check out our documentation.