Industrial Data Science Library

This is Cognite's collection of data science algorithms and models. Its objective is twofold. First, empower domain experts to conduct exploratory work, root cause analysis, and analyze data via Cognite Charts. Second, curate a collection industry relevant data science algorithms to be used as a regular python package. For more information, consult the Charts documentation page.

Documentation

• InDSL Home
• Data Science Developer Guidelines
• Gallery of Charts - Examples
• Publishing new versions of InDSL

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Gustavo 📖 👀 📢 ⚠️ 🔣 🖋 💻 🤔	Simon Funke 💻 ⚠️ 🐛	Neringa Altanaite 💻 👀 ⚠️ 📖	Rhuan Barreto 🔧 🛡️ 👀 🤔 🚇	Everton Colling 💻 🔣 📖 ⚠️	redzarosliCognite 💻 👀 🤔 📖 💡 💬 📓	Morten Grønbech 💻 💡 📖 👀 💬 🤔
Cristina Ferrer 💻 💡 🤔 👀	Håkon V. Treider 💻 👀 🤔 🚇	Andris Piebalgs 💻 👀 💡	kbrattli 💻 📖 🚧 ⚠️	Vebjørn Gilberg 💻 📖 👀 ⚠️

This project follows the all-contributors specification. Contributions of any kind welcome!