BentoML
grouparoo
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| BentoML | grouparoo | |
|---|---|---|
| 16 | 27 | |
| 6,521 | 607 | |
| 2.3% | - | |
| 9.8 | 9.9 | |
| about 21 hours ago | about 2 years ago | |
| Python | JavaScript | |
| Apache License 2.0 | MIT License |
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.
BentoML
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Who's hiring developer advocates? (December 2023)
Link to GitHub -->
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project ideas/advice for entry-level grad jobs?
there are a few tools you can use as "cheat mode" shortcuts to give you a leg up as you're getting started. here's one: https://github.com/bentoml/BentoML
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Two high schoolers trying to use Azure/GCP/AWS- need help!
Then you can look into bentoml https://github.com/bentoml/BentoML which is used to deploy ml stuff with many more benifits.
- Ask HN: Who is hiring? (November 2022)
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[D] How to get the fastest PyTorch inference and what is the "best" model serving framework?
For 2), I am aware of a few options. Triton inference server is an obvious one as is the ātransformer-deployā version from LDS. My only reservation here is that they require the model compilation or are architecture specific. I am aware of others like Bento, Ray serving and TorchServe. Ideally I would have something that allows any (PyTorch model) to be used without the extra compilation effort (or at least optionally) and has some convenience things like ease of use, easy to deploy, easy to host multiple models and can perform some dynamic batching. Anyway, I am really interested to hear people's experience here as I know there are now quite a few options! Any help is appreciated! Disclaimer - I have no affiliation or are connected in any way with the libraries or companies listed here. These are just the ones I know of. Thanks in advance.
- PostgresML is 8-40x faster than Python HTTP microservices
- Congratulations on v1.0, BentoML š± ! You are r/mlops OSS of the month!
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Show HN: Truss ā serve any ML model, anywhere, without boilerplate code
In this category Iām a big fan of https://github.com/bentoml/BentoML
What I like about it is their idiomatic developer experience. It reminds me of other Pythonic frameworks like Flask and Django in a good way.
I have no affiliation with them whatsoever, just an admirer.
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[P] Introducing BentoML 1.0 - A faster way to ship your models to production
Github Page: https://github.com/bentoml/BentoML
- Show HN: BentoML goes 1.0 ā A faster way to ship your models to production
grouparoo
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Reverse ETL recommendations?
Reverse ETL is on AirByte's roadmap under the "Future / Not prioritized" section. I wanted to use Grouparoo as a short term solution, but the repo was archived and I think they stopped taking new cloud customers (unknown if this is wrong/outdated).
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Reference Data Stack for Data-Driven Startups
There are other tools that we will have to adopt in the future but havenāt yet due to lack of necessity. Specifically, one category that is popular in modern data stacks is Reverse ETL (Hightouch, Census, or Grouparoo). We currently donāt have a usecase for piping data back into 3rd party tools but it will definitely come up in the future.
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Data pipeline suggestions
Reverse ETL: Grouparoo, Castled
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Is Reverse ETL a new product or a new ETL/ELT feature?
Grouparoo, the open source Reverse ETL tool we are building, does all of these things. https://www.grouparoo.com
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Where can I find free data engineering ( big data) projects online?
Ingestion / ETL: Airbyte, Singer, Jitsu Transformation: dbt Orchestration: Airflow, Dagster Testing: GreatExpectations Observability: Monosi Reverse ETL: Grouparoo, Castled Visualization: Lightdash, Superset
- Invite your company
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Ask HN: Who is hiring? (December 2021)
Grouparoo | Remote (US) | Remote-OK | https://www.grouparoo.com
Grouparoo is a venture-backed software company building open source data tools that make data reliable, accessible, and actionable. Weāre empowering teams to make great customer experiences, driven by data. While engineering teams have gotten good at storing and generating data about their customers, itās rare that this data is used to its full potential in external applications. Grouparoo makes these integrations easy by providing a framework for defining your customer data and reliably syncing it to external tools.
To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/grouparoo
Here are our open roles:
- Senior Backend / Lead Engineer: https://jobs.lever.co/grouparoo/6ba485d1-a5a4-41f0-9fa5-920a...
- Developer Advocate: https://jobs.lever.co/grouparoo/5e1531b4-7ec8-4c10-8e52-fc23...
Tech Stack: TypeScript / Javascript / Node.js, ActionHero, React + Next.js, Postgres & Redis, and whole lot of third-party APIs!
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Launch HN: Hightouch (YC S19) ā Sync data from data warehouses to SaaS tools
Congrats on the launch! Hightouch looks great and this need is real. Things seem to be going well, so I don't think I'm taking too much away by mentioning that we have been been working on Grouparoo, an open source alternative that solves similar pain points.
A few differences: git developer workflow focused (branches, CI, PRs, etc), ability to self host, segmentation in destinations (tagging people in mailchimp based on rules, for example)
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Reverse ETL
We are building Grouparoo. Obviously, it's a biased sample but we are seeing a few trends at play.
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What software or coding tools are you trying to get your company to invest in?
Has anyone heard or used of reverse etl or Hightouch or open sourced Grouparoo?
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
rotki - A portfolio tracking, analytics, accounting and management application that protects your privacy
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
TileDB - The Universal Storage Engine
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
meltano
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
streamlit - Streamlit ā A faster way to build and share data apps.
kubeflow - Machine Learning Toolkit for Kubernetes
PostHog - š¦ PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.