Cognite’s 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 without the requirement to code by driving the industrial data science and analytics engine behind Cognite Charts. Second, curate a collection industrial relevant data science algorithms to be used by any data scientist. For more information, check Charts documentation page.
Toolboxes
Examples
Developers
- Contributing
- Code of Conduct
- Developer utility functions
- Changelog
- v6.5.0 (2023-03-31)
- v6.4.4 (2023-03-23)
- v6.4.3 (2023-02-23)
- v6.4.2 (2023-01-24)
- v6.4.1 (2023-01-24)
- v6.4.0 (2022-12-13)
- v6.3.1 (2022-11-09)
- v6.3.0 (2022-11-08)
- v6.2.0 (2022-09-29)
- v6.1.0 (2022-08-25)
- v6.0.1 (2022-08-17)
- v6.0.0 (2022-08-17)
- v4.8.2 (2022-08-09)
- v4.8.1 (2022-08-09)
- v4.8.0 (2022-07-26)
- v4.7.0 (2022-07-07)
- v4.6.0 (2022-06-16)
- v4.5.1 (2022-06-09)
- v4.5.0 (2022-05-25)
- v4.4.1 (2022-05-18)
- v4.4.0 (2022-05-11)
- v4.3.1 (2022-05-04)
- v4.3.0 (2022-04-27)
- v4.2.2 (2022-04-21)
- v4.2.1 (2022-04-21)
- v4.2.0 (2022-04-20)
- v4.1.1 (2022-03-30)
- v4.1.0 (2022-03-22)
- v4.0.2 (2022-03-01)
- v4.0.1 (2022-02-28)
- v4.0.0 (2022-02-24)
- v3.1.1 (2022-02-02)
- v3.1.0 (2022-01-21)
- v3.0.0 (2022-01-14)
- v2.1.0 (2022-01-05)
- v2.0.0 (2021-12-20)
- v1.0.0 (2021-12-06)
- v0.2.1 (2021-11-11)
- v0.2.0 (2021-11-04)
- v0.1.0 (2021-10-29)
- v0.0.8 (2021-10-18)
- v0.0.7 (2021-10-18)
- v0.0.6 (2021-10-18)
- 0.0.6 (2021-10-18)
- 0.0.5 (2021-10-18)
- v0.0.4 (2021-10-13)
- 0.0.3 (2021-10-08)