KMDS, a package for knowledge managment in data science

This page summarizes the projects mentioned and recommended in the original post on dev.to

WorkOS - The modern identity platform for B2B SaaS
The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
workos.com
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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  • kmds_recipes

    Repository of kmds recipes for common kmds tasks

  • KMDS is a python package that helps data scientists and data analysts collaborate and document their analysis and model development projects. A lot of data science work is incremental and experimental. Any reasonable data science project requires choices that are made based on the characteristics of the use case, and, there are many of these that accumalate over time. When it is time to rebuild the model because the data has changed this is forgotten. KMDS fixes this problem. See the kmds wiki for recipes to use kmds: recipes with KMDS The repository is here : KMDS The tl;dr version of the package is here:

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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