igel
Shynet
Our great sponsors
igel | Shynet | |
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11 | 21 | |
3,080 | 2,806 | |
- | - | |
1.1 | 7.1 | |
about 1 year ago | 6 days ago | |
Python | Python | |
MIT License | 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.
igel
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Train/fit, test, and use models without writing code
Link to the repo: https://github.com/nidhaloff/igel
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Question about trending repositories on GitHub based on the spoken language?
So I have a project that made it to the GitHub trending list. The project is in English and the spoken language is set to English on my Profile/settings. However, I can only see the project in the trending list if I set the spoken language in the trending tab to "any". If I set it to English then my project is not listed anymore in the trending list. How can this be?
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I created a machine-learning tool for easy and fast prototyping
Igel is a machine learning tool that makes it very easy to prototype and create/experiment with ML models on the fly. Igel helps you automate many tasks from cleaning your dataset to evaluating the trained model and finally serve it by creating a REST server that is production-ready.
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Show HN: Machine learning automation from creating to using models in production
Thanks for the feedback! When I first started the project, it was not thought for production. Just for fast prototyping and experimenting with no efforts at all. However, users liked the tool and started requesting more features including support for serving models and eventually deploying (e.g this issue https://github.com/nidhaloff/igel/issues/62)
I agree with your point of vue. However, igel is fairly new and evolving fast. Using igel to serve trained model is a new feature that was implemented in the new release so igel has a long way to go in order to be a solid product for production use.It will surely get more mature with time.
Finally, notice that I didn't recommend running it in production. Just mentioned that it is possible and takes no efforts at all. However, if the user generated a trained model then anything can be done with it from there. Technically, the user can implement his/her own server and use the model as wanted. Obviously, users should do that if they want more control ;)
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[P] An experimental machine learning package for easy and fast prototyping
igel is a fairly new machine learning package that allows you to create ML prototypes on the fly. You can use igel from the terminal without writing any code or from python if you want to. I tried to keep the API simple enough and flexible as possible.
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New igel release: support for serving trained machine learning models using fastapi and uvicorn
Hi everyone, I wanted to share with you the new release/features of the igel machine learning package
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Ask HN: How to find sponsors for my open source projects?
I think that most companies that sponsor projects are companies that are using the projects. IIUC https://github.com/nidhaloff/igel is your most popular project. Who is using it?
Don't expect the companies to pay. You can not force them to pay. It's a project with a MIT license. (Perhaps this is obvious for you, but a few days ago someone posted a rant by another developer because some companies were using his MIT-license project and only making a $500 annual money contribution.)
I think one possibility is to write blog post about examples of using the project to solve interesting problems. It's important that they are interesting to get traction here and in other platforms. At the bottom, add a remake explaining that you are the main developer of the project and you'd like sponsors. (I can't guaranty that this will work.)
Also, this helps as an extended documentation of the project and to get more traffic from google and to get more users. All of that can help to increase the user base and hopefully find an sponsor. (I can't guaranty that this will work.)
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Sponsoring open source projects, share about your project
- igel: https://github.com/nidhaloff/igel a delightful tool that allows using ML without writing code. I'm also working on an even simpler cross-platform frontend for it written in electronjs (check it here https://github.com/nidhaloff/igel-ui)
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Ask HN: What are some tools / libraries you built yourself?
Last year I built deep-translator https://github.com/nidhaloff/deep-translator
I wanted a tool where multiple translators are integrated and where I can get translations from different sources but only using one tool. I then tried to build a cross platform mobile app using python (which is not the best language for this, I know) https://github.com/nidhaloff/Translator-pp
Probably the best project I built/started last year is the machine learning package igel: https://github.com/nidhaloff/igel
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Weekly Developer Roundup #16 - Sun Oct 04 2020
Show HN: Igel – A CLI tool to run machine learning without writing code: https://github.com/nidhaloff/igel
Shynet
- Shynet: Modern, privacy-friendly, web analytics, without cookies or JavaScript
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It Took Me a Decade to Find the Perfect Personal Website Stack – Ghost+Fathom
+1 on shynet! I use it for my personal website and my blog, and it's been working great.
I got it up and running with Podman, so no need to install and run the Docker daemon. I also fixed SQLite support [1], so no need for an additional DB server.
I analyzed available open-source web analytics tools [2] and AFAIK there is simpler solution for web analytics that doesn't involve a third party.
[1] https://github.com/milesmcc/shynet/issues/208
[2] https://blog.fidelramos.net/software/privacy-respecting-self...
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Recommendations for self-hosted Google Analytics alternatives?
I like shynet
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Ask HN: Any alternatives to Google Analytics that don't require cookies?
I am using shynet for a while now. Really all I need to know :)
https://github.com/milesmcc/shynet
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Why you should remove Google Analytics from your website
There's also Shynet.
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Show HN: Sudopad – Private link sharing board for friends
Oh that is actually shynet self hosted analytics which is privacy friendly. https://github.com/milesmcc/shynet
But I think I'll just remove it for now.
- Please name some open source projects which are collecting small user analytics metrics and how
- Google Analytics declared illegal in the EU.
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Ask HN: Good open source alternatives to Google Analytics?
Shynet: https://github.com/milesmcc/shynet
The goal is to provide, privacy-friendly, and detailed web analytics that works without cookies or JS. And it's completely open source.
Full disclosure: I am the primary maintainer.
What are some alternatives?
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
Plausible Analytics - Simple, open source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
Umami - Umami is a simple, fast, privacy-focused alternative to Google Analytics.
VulnerableApp - OWASP VulnerableApp Project: For Security Enthusiasts by Security Enthusiasts.
Open Web Analytics - Official repository for Open Web Analytics which is an open source alternative to commercial tools such as Google Analytics. Stay in control of the data you collect about the use of your website or app. Please consider sponsoring this project.
profanity - Ncurses based XMPP client
flask-profiler - a flask profiler which watches endpoint calls and tries to make some analysis.
nnAudio - Audio processing by using pytorch 1D convolution network
Matomo - Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!
deep-translator - A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
GoatCounter - Easy web analytics. No tracking of personal data.