knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions. (by airbnb)
Apache Superset
Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset] (by apache)
Our great sponsors
| knowledge-repo | Apache Superset | |
|---|---|---|
| 2 | 3 | |
| 5,429 | 34,745 | |
| 0.2% | - | |
| 4.1 | 9.9 | |
| 9 months ago | about 3 years ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
knowledge-repo
Posts with mentions or reviews of knowledge-repo.
We have used some of these posts to build our list of alternatives
and similar projects.
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How do you document a ML research?
While a start, a few that just being a markdown is editor is not enough, GitHub and GitLab already have this sort of wiki. I feel something like https://github.com/airbnb/knowledge-repo provides a better experience, since it gives an incentive for Data Scientists to make their source notebook well documented, and be a SSoT. With a Wiki like, if you change something on the original project, you need to remind yourself to update your reports. If your notebook is in itself your report, that's not necessary. Plus, it would benefit from the Semantic Diffs that DagsHub already have implemented.
- How does everyone share their models etc. across teams for re-use effectively?
Apache Superset
Posts with mentions or reviews of Apache Superset.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-25.
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Using KeyCloak(OpenID Connect) with Apache SuperSet
The first difference is that after pull request 4565 was merged, you can no longer do:
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Open Source Analytics Stack: Bringing Control, Flexibility, and Data-Privacy to Your Analytics
Open-source BI platforms such as Metabase (website, GitHub) and Apache SuperSet (website, GitHub) are easy to deploy without IT involvement. Metabase lets you build dashboards from the data in your warehouse easily, with no SQL, or, if you have data engineering or science know-how, inside more powerful and flexible notebooks or with SQL itself. Similarly, Apache SuperSet helps businesses explore and visualize data from simple line charts to detailed geospatial charts.
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Ask HN: What low-code “dashboarding“ SaaS would you recommend in 2021?
Check out Superset. https://github.com/apache/incubator-superset
It’s modern, easy to extend. From the same author of apache airflow.