A world-class development environment for data science¶
SherlockML is a cloud platform for data scientists who need powerful compute, fast configuration, secure collaboration and easy deployment.
SherlockML allows you to share data and code securely with team members, publish version-controlled reports of your analysis and access the Jupyter environment at the touch of a button. Features like unlimited file-size upload, automated data exploration and scalable computing power mean less time accessing and cleaning data and more time building models. Nevertheless, when you need it you can open a terminal for unrestricted access to your servers.
Your environment comes pre-installed with Python libraries for data science, including public libraries like pandas and NumPy as well as libraries only available in SherlockML such as Lens and Customer Intelligence.
- Customising your environment
- Accessing data in Amazon S3
- Accessing databases
- Scheduling jobs with cron
- Using R
- Using Apache Spark
- Using Apache Zeppelin
Want to request a new feature?
Get in touch by clicking the help button in SherlockML.