self-hosted
ML-Workspace
Our great sponsors
self-hosted | ML-Workspace | |
---|---|---|
28 | 7 | |
7,264 | 3,324 | |
2.7% | 1.1% | |
9.0 | 2.7 | |
4 days ago | 5 months ago | |
Shell | Jupyter Notebook | |
GNU General Public License v3.0 or later | 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.
self-hosted
-
Sentry new TOS to use data to train AI with no opt-out
This is the point where I will point out that you can self-host Sentry free of charge :) https://develop.sentry.dev/self-hosted/
-
Low cost self-hosted bug reporting?
Sentry can be self hosted: https://develop.sentry.dev/self-hosted/
-
FSL: A License for the Bazaar, Not the Cathedral
The people we're concerned about are not the hundreds of thousands of Sentry users, including those that self-host.
We're concerned about people who have taken the software for the purposes of competing directly against us, that hinders our ability to monetize the work. Monetizing the work helps us continue improving the software and distribute it for free use, benefitting those aforementioned real users (e.g. https://github.com/getsentry/self-hosted).
-
Show HN: A open-source financial accounting alternative to QuickBooks
> I mean no slander or disrespect to anyone involved, but there was a DataDog alternative posted sometime in the last few weeks that had a docker-compose with like 15 containers in it.
Reminds me of Sentry: https://develop.sentry.dev/self-hosted/
This is their example docker-compose for self-hosting: https://github.com/getsentry/self-hosted/blob/master/docker-...
It has:
- exim4 (smtp)
-
OpenTelemetry in 2023
> What should people use?
I recall Apache Skywalking being pretty good, especially for smaller/medium scale projects: https://skywalking.apache.org/
The architecture is simple, the performance is adequate, it doesn't make you spend days configuring it and it even supports various different data stores: https://skywalking.apache.org/docs/main/v9.0.0/en/setup/back...
The problems with it are that it isn't super popular (although has agents for most popular stacks), the docs could be slightly better and I recall them also working on a new UI so there is a little bit of churn: https://skywalking.apache.org/downloads/
Still better versus some of the other options when you need something that just works instead of spending a lot of time configuring something (even when that something might be superior in regards to the features): https://github.com/getsentry/self-hosted/blob/master/docker-...
Sentry is just the first thing that comes to mind (OpenTelemetry also isn't simpler due to how much it tries to do), but compare its complexity to Skywalking: https://github.com/apache/skywalking/blob/master/docker/dock...
I wish there was more self-hosted software like that out there, enough to address certain concerns in a simple way on day 1 and leave branching out to more complex options like OpenTelemetry once you have a separate team for that and the cash is rolling in.
- Why use application stacks script installers
-
OpenObserve: Elasticsearch/Datadog alternative in Rust.. 140x lower storage cost
Sounds interesting!
Will you compare with qryn? Self-hosted sentry?
qryn.metrico.in/
https://develop.sentry.dev/self-hosted/
-
Insufficient logging
I haven't done it in years, but technically sentry is able to be self hosted https://github.com/getsentry/self-hosted
- Cloud Native Alternative to Sentry?
-
Show HN: We built a ClickHouse-based logging service
yes to the second https://github.com/getsentry/self-hosted/blob/23.4.0/docker-... and only after the embargo is over to the first: https://github.com/getsentry/self-hosted/blob/23.4.0/LICENSE...
I also miss the "good old days" when running sentry was like 3 containers, not the 32 of modern Sentry
ML-Workspace
-
[D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on.
Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
- ML-Workspace
-
Coding for machine learning on Tab S8?
The other option - no reason why you couldn't host something on the desktop machine - web based IDE like R-Studio or Python - have a look at ml-workspace - https://github.com/ml-tooling/ml-workspace that runs in Docker and would provide interfaces for both Python and R, VSCode as well as a GPU accelerated variant for doing Tensorflow etc - either Windows or Linux can support Docker containers (Linux is less trouble apparently - I only have played with it in Linux personally)
-
Dynamically spin up VM (based on specific HTTPS request) and stop it once session is over?
It will be a web based IDE dev kit (like Jupyter Hub, or JupyterLab) if you are familiar with them)
- All-in-One Docker Based IDE for Data Science and ML
- Visual Studio Code now available as Web based editor for GitHub repos
-
[P] Install or update CUDA, NVIDIA Drivers, Pytorch, Tensorflow, and CuDNN with a single command: Lambda Stack
I'll stick with https://github.com/ml-tooling/ml-workspace, is a docker with all tools installed, also the option of using GPU, so I think is better than only for debian. This way anyone can use it.
What are some alternatives?
Sentry - Developer-first error tracking and performance monitoring
JupyterLab - JupyterLab computational environment.
Code-Server - VS Code in the browser
Gitpod - DEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm
apprise - Apprise - Push Notifications that work with just about every platform!
keytotext - Keywords to Sentences
zammad-docker-compose - Zammad Docker images for docker-compose
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)
RegExr - RegExr is a HTML/JS based tool for creating, testing, and learning about Regular Expressions.
pycaret - An open-source, low-code machine learning library in Python