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Top 11 Python Kernel Projects
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Project mention: Ask HN: Who's an open source maintainer/project that needs sponsorship or help? | news.ycombinator.com | 2023-02-28
I maintain several open source projects, most notably:
Sparkmagic (https://github.com/jupyter-incubator/sparkmagic)
Sparkmagic provides jupyter magics and kernels for working with remote Spark clusters. It's used by thousands of developers and companies like Pinterest, Amazon, more!
I've been maintaining for the past few years and would love help!
KSOPS (https://github.com/viaduct-ai/kustomize-sops)
KSOPS, or kustomize-SOPS, is a kustomize KRM exec plugin for SOPS encrypted resources. KSOPS can be used to decrypt any Kubernetes resource, but is most commonly used to decrypt encrypted Kubernetes Secrets and ConfigMaps. As a kustomize plugin, KSOPS allows you to manage, build, and apply encrypted manifests the same way you manage the rest of your Kubernetes manifests.
KSOPS is the most popular kustomize plugin and I'd love help maintaining and improving it from out GitOps fanatics.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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The way I work is to use an interactive IPython REPL. It has a lot of features to make interactive development comfortable. I solve a problem incrementally, attempting to get a little piece of code right many times, changing it a little each time to fix bugs. Then I go back and copypaste the lines into a file and tidy it up a little. Then I go back to IPython and solve the next little stage of the problem. Maybe this style of development will be more fitting for you?
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Ulfalizer's python implementation, Kconfiglib has a permissive license and works brilliantly. It's what Zephyr uses. https://github.com/ulfalizer/Kconfiglib
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If monitoring is your primary concern, check out Patchman. As others have mentioned, an Apt caching solution is the way to go for bandwidth savings.
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deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Project mention: What approach to take predicting a simple data stream? | /r/neuralnetworks | 2022-10-03Interesting approach to small datasets. Here is an implementation I'll look at: https://github.com/BayesWatch/deep-kernel-transfer
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le9-patch
[PATCH] mm: Protect the working set under memory pressure to prevent thrashing, avoid high latency and prevent livelock in near-OOM conditions
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-05-30.
Python Kernel related posts
- le9-patch prevents system freezes on low-end systems
- My contribution to the browser discourse (arch btw)
- Fully dockerized Linux kernel debugging environment
- Fully Dockerized Linux kernel debugging environment
- Fully Dockerized Linux kernel debugging environment
- Fully Dockerized Linux kernel debugging environment
- Does Linux’s memory management suck?
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A note from our sponsor - InfluxDB
www.influxdata.com | 5 Jun 2023
Index
What are some of the best open-source Kernel projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | sparkmagic | 1,223 |
| 2 | like-dbg | 678 |
| 3 | ipykernel | 554 |
| 4 | Kconfiglib | 375 |
| 5 | patchman | 271 |
| 6 | deep-kernel-transfer | 177 |
| 7 | le9-patch | 172 |
| 8 | falkon | 142 |
| 9 | receipt-parser-server | 77 |
| 10 | pythonOS | 73 |
| 11 | plugsched | 68 |
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