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Works via xdotool so works in vim / browser / TUI etc.
Wrote a post about it on my company blog.
https://midpath.in/blog/0007_sttbridge/index.html
I posted this a long time back. There have been major changes so posting it again.
- Jaypore CI (JCI) is a very minimal CI system. It's installed as a single binary on your $PATH.
- Runs on your laptop enabling offline running and local debugging of CI.
- Artifacts / results are stored in git namespaces. You can push/pull these to/from remotes.
- A web server is there to browse CI results.
- A cron capability to run midnight builds / artifact cleanup / auto-publish sites and packages.
- Pipelines can be written in any language you want. Bash / Python / Golang / Julia / Haskell.
- Pipelines can have anything you desire! Matrix builds, build farms via ssh, ephemeral farms for model training, conditional dependencies.. so much more!
There are a lot more things planned! Do take a look and see if something catches your eye. We'll be rapidly adding examples to showcase common patterns over the coming week or so, so please star the github repo to get an update when that happens.
Repo: https://github.com/theSage21/jaypore_ci
Site: https://www.jayporeci.in
I'm curious about how other people are solving this kind of a problem in their own software.
https://arjoonn.com/static/post/0281b24ea4f932dbd545f851e8fc...
I turned to drone CI / woodpecker CI / agola CI but they all required me to set up a server / runner etc so that they could run.
That's why I build Jaypore CI:
- Runs on your laptop / remote cloud
- CI status is directly posted in pull request description
- Uses docker to run everything so we can have caching / db services / publishing packages etc
- Configuration language is normal python. This allows job matrix, complex conditional jobs, multiple languages for each job
https://github.com/theSage21/jaypore_ci
- https://github.com/theSage21/sigsearch
- https://www.cs.cmu.edu/~wing/publications/ZaremskiWing93.pdfhttp://m.jes.ecsdl.org/content/166/13/A3031
Abstract:
We present a wide range of testing results on an excellent
moderate-energy-density lithium-ion pouch cell chemistry to serve
as benchmarks for academics and companies developing advanced lithium-ion
and other “beyond lithium-ion” cell chemistries to(hopefully) exceed.
These results are far superior to those that have been used by researchers
modelling cell failure mechanisms and as such, these results are more
representative of modern Li-ion cells and should be adopted by modellers.
Up to three years of testing has been completed for some of the tests.
Tests include long-term charge-discharge cycling at 20, 40 and 55°C,
long-term storage at 20, 40and 55°C, and high precision coulometry at 40°C.
Several different electrolytes are considered in this LiNi0.5Mn0.3Co0.2O2/graphite
chemistry, including those that can promote fast charging. The reasons for
cell performance degradation and impedance growth are examined using
several methods. We conclude that cells of this type should be able to power
an electric vehicle for over 1.6million kilometers (1 million miles) and last
at least two decades in grid energy storage. The authors acknowledge that
other cellformat-dependent loss, if any, (e.g. cylindrical vs. pouch) may
not be captured in these experiments.