faros-community-edition
fragments
Our great sponsors
| faros-community-edition | fragments | |
|---|---|---|
| 19 | 2 | |
| 403 | 14 | |
| 3.7% | - | |
| 7.5 | 2.8 | |
| 13 days ago | 10 months ago | |
| TypeScript | TypeScript | |
| Apache License 2.0 | - |
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.
faros-community-edition
- Show HN: Git and Jira analytics in under 10 minutes
- Show HN: Open-Source Metrics for GitHub, Gitlab, Jira, Bitbucket
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Git + Jira Analytics in 10 minutes on your laptop
Open source code
- Show HN
- Show HN: Open-Source Engineering Metrics for GitHub, Gitlab and Jira
- Show HN: Open-Source Dora Metrics for GitHub, Gitlab and Jira
- Show HN: Open-Source EngOps Metrics for GitHub, Gitlab, Bitbucket and Jira
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Making the case for the EngOps data fabric
Clearly, you shouldn’t be focusing on building such an EngOps data fabric. It is challenging to build and not your core business. This is what we build at Faros AI: the connected engineering operations platform. We want to unlock the power of all that EngOps data for your organization. You can check out our open-source version: https://github.com/faros-ai/faros-community-edition.
fragments
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Fetch and transform data from a source and expose a REST API
I built this https://github.com/corpulent/fragments as an experiment/POC for fetching and transforming data from various sources and exposing it via a REST API for consumption in BI dashboards, apps, and so on. Jinja defines the structure a REST API should return, users can write custom functions to transform data. Data gets optionally cached after its processed the first time so consecutive API calls are instant. Jinja is optional, and users can just write Python code.
GraphQL is a similar idea to this.
I am burned out trying to figure out good use cases, a market to approach, and generally in what ways to expand on it further. So I am reaching out to the community in hopes of gaining some insights or ideas!
Thanks in advance.
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Sharing my data engineering project/idea, using jinja, docker, k8s, react UI.
Repo here https://github.com/corpulent/fragments
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