leapp
dvc
Our great sponsors
leapp | dvc | |
---|---|---|
73 | 108 | |
1,519 | 13,032 | |
1.5% | 1.6% | |
9.7 | 9.7 | |
2 days ago | about 20 hours ago | |
TypeScript | Python | |
Mozilla Public License 2.0 | 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.
leapp
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Ask HN: Who wants to be hired? (March 2024)
Summary:
Do you find yourself overwhelmed with work, requests, or complaints and in need of assistance to alleviate the pressure, enhance communication, facilitate organization, prioritize tasks, and foster greater trust and transparency?
Alternatively, I can work as a full stack developer.
AWS Community builder, AWS User group Leader, public speaker (https://www.youtube.com/watch?v=qdu58NAQfU0&t=271s)
Or perhaps you need both? =)
I have 4+ years of experience as a product manager and 8 in product development (before pm: agile coach, UX designer, and developer).
I've been the co-founder of the open-core company behind the OSS project Leapp (https://github.com/Noovolari/leapp)
Please feel free to reach out.
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OKTA Identity Engine Upgrade
You can switch to saml2aws using the browser method instead of the Okta method and it will continue to work after the upgrade. There is also a really neat GUI tool to manage your session tokens that also works. https://www.leapp.cloud
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When using AWS Organizations SSO for multiple accounts (dev, stage, prod) I have a hard time knowing which account I'm currently logged into.
Take a try to Leapp: https://github.com/Noovolari/leapp
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Ask HN: Should open source projects track you?
Hello everyone, I'm the maintainer of an open-source DeveloperTool (https://github.com/Noovolari/leapp)
With a heuristic of 7000 users daily, I started feeling the need to have more information on how Users are using the project to improve it.
Is it the right thing to do to create a better Developer Experience and gain feedback for the end users?
On a side:
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Ask HN: Secure and simple way for secret/credential management in a startup?
- For all your employees I can advice you Leapp as open-source project (https://github.com/Noovolari/leapp). It solve mayor of the problem listed here:
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Alternative Official SDK
I am looking to manage Leapp (https://www.leapp.cloud/) from the StreamDeck. Leapp allows you to manage and switch between different Cloud Accounts (AWS, Azure, etc). Leapp has a command line interface which I could automate with a StreamDeck plugin. Unfortunately it looks like the only official SDK is the sandboxed JavaScript one. This means I cannot automate command line tools with it.
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Multiple active AWS consoles in the same browser with Leapp open-source browser extension (for Firefox and Chrome)
Leapp Github repository
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You should have lots of AWS accounts
That nightmare is the reason why I started my OSS project https://github.com/Noovolari/leapp
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Never put AWS temporary credentials in env vars or credentials files (2021)
Leapp generates credentials process on your behalf, from AWS sso to MFA to SAML federation https://github.com/Noovolari/leapp
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Stop putting AWS credentials in the credentials file
Yep, This and https://github.com/Noovolari/leapp/ are doing the same things, leapp is more for a bigger amount of sessions to manage. and auto-rotation of the credentials
dvc
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Why bad scientific code beats code following "best practices"
What you’re describing sounds like DVC (at a higher-ish—80%-solution level).
See pachyderm too.
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First 15 Open Source Advent projects
10. DVC by Iterative | Github | tutorial
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Platforms such as MLflow monitor the development stages of machine learning models. In parallel, Data Version Control (DVC) brings version control system-like functions to the realm of data sets and models.
- ML Experiments Management with Git
- Ask HN: How do your ML teams version datasets and models?
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Exploring MLOps Tools and Frameworks: Enhancing Machine Learning Operations
DVC (Data Version Control):
- Evaluate and Track Your LLM Experiments: Introducing TruLens for LLMs
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[D] Is there a tool to keep track of my ML experiments?
I have been using DVC and MLflow since then DVC had only data tracking and MLflow only model tracking. I can say both are awesome now and maybe the only factor I would like to mention is that IMO, MLflow is a bit harder to learn while DVC is just a git practically.
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Ask HN: Data Management for AI Training
* User interface for less tech savy people ( e.g just a git like command line is fine for engineers but not for field personell who are not in IT )
I know of tools like https://dvc.org/ but a) they are just layers on top of git b) break appart on huge datasets without a folder hierarchy ( git tree objects just don't work for linear lists of items ) are only useable by IT personell, and require checking out at least a part of the dataset.
Our datasets would be 100.000.000 x 100 MB = 10 PB of raw data. Training data should be delivered to training nodes via network etc.. we just can't have a full checkout of that data...
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Do you wonder why MLOps is not at the same level as DevOps?
Hey, great find! However, it only explains concepts but not how to actually use any tool. I personally use DVC, but it's more focused on the model development/engineering phase. The different phases of ML are also done independently, which makes it even more difficult for an individual to have exposure to all the different areas. Moreover, the lack of standard tools and best practices makes it difficult, and the fact that every ML problem is different.
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
lakeFS - lakeFS - Data version control for your data lake | Git for data
aws-vault - A vault for securely storing and accessing AWS credentials in development environments
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
sshportal - :tophat: simple, fun and transparent SSH (and telnet) bastion server
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
git-submodules - Git Submodule alternative with equivalent features, but easier to use and maintain.
palm-dbt - dbt plugin for Palm CLI
git-lfs - Git extension for versioning large files
guildai - Experiment tracking, ML developer tools