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Top 23 Beam Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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hands-on-llms
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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prom_ex
An Elixir Prometheus metrics collection library built on top of Telemetry with accompanying Grafana dashboards
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lam
:rocket: a lightweight, universal actor-model vm for writing scalable and reliable applications that run natively and on WebAssembly (by leostera)
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real-world-phoenix
Real World Phoenix apps and their open source codebases for developers to learn from
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GuardianBeam
An util to create easily Guardian Lasers via Packets and Reflection. No dependencies, compatible 1.9 -> 1.20
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hearth
Shared execution environment for constructing 3D virtual spaces from the inside. (by hearth-rs)
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BeamPay
Beampay is a payment processor that allows for easy integration with your online store to automatically manage all your transactions. Beampay is already integrated and on display at store.beamprivacy.community.
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SaaSHub
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Project mention: Ask HN: Does (or why does) anyone use MapReduce anymore? | news.ycombinator.com | 2024-01-24The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/97814.... It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.).
As for the framework called MapReduce, it isn't used much, but its descendant https://beam.apache.org very much is. Nowadays people often use "map reduce" as a shorthand for whatever batch processing system they're building on top of.
There are 3 courses that I usually recommend to folks looking to get into MLE/MLOps that already have a technical background. The first is a higher-level look at the MLOps processes, common challenges and solutions, and other important project considerations. It's one of Andrew Ng's courses from Deep Learning AI but you can audit it for free if you don't need the certificate: - Machine Learning in Production For a more hands-on, in-depth tutorial, I'd recommend this course from NYU (free on GitHub), including slides, scripts, full-code homework: - Machine Learning Systems And the title basically says it all, but this is also a really good one: - Hands-on Train and Deploy ML Pau Labarta, who made that last course, actually has a series of good (free) hands-on courses on GitHub. If you're interested in getting started with LLMs (since every company in the world seems to be clamoring for them right now), this course just came out from Pau and Paul Iusztin: - Hands-on LLMs For LLMs I also like this DLAI course (that includes Prompt Engineering too): - Generative AI with LLMs It can also be helpful to start learning how to use MLOps tools and platforms. I'll suggest Comet because I work there and am most familiar with it (and also because it's a great tool). Cloud and DevOps skills are also helpful. Make sure you're comfortable with git. Make sure you're learning how to actually deploy your projects. Good luck! :)
Beam โis a highly-general library for accessing any kind of database with Haskellโ. Beam makes extensive use of GHC's Generics mechanism โ no Template Haskell.
Project mention: Movie & Chill confirmed as removed for pirated content | /r/VRchat | 2023-12-08
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).
Beam related posts
- Ask HN: Does (or why does) anyone use MapReduce anymore?
- Show HN: Burrito v1.0.0 โ Wrap Elixir Apps into Standalone Binaries
- How do Streaming Aggregation Pipelines work?
- How to use PostgreSQL with Haskell: beam
- Releasing Temporian, a Python library for processing temporal data, built together with Google
- Burrito: Cross-Platform Elixir Deployments
- Is Elixir a good fit for a hobbyist? (Homelab automation/Content Backlog Management)
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www.saashub.com | 24 Apr 2024
Index
What are some of the best open-source Beam projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | beam | 7,508 |
| 2 | lumen | 3,576 |
| 3 | NBMiner | 3,160 |
| 4 | Scio | 2,520 |
| 5 | hands-on-llms | 2,209 |
| 6 | clojerl | 1,633 |
| 7 | visualixir | 1,305 |
| 8 | burrito | 814 |
| 9 | beam | 697 |
| 10 | beam | 573 |
| 11 | prom_ex | 565 |
| 12 | lam | 248 |
| 13 | codec-beam | 172 |
| 14 | mad | 172 |
| 15 | real-world-phoenix | 148 |
| 16 | GuardianBeam | 79 |
| 17 | website | 78 |
| 18 | hearth | 62 |
| 19 | beam-automigrate | 20 |
| 20 | freecad.frametools | 19 |
| 21 | BeamPay | 12 |
| 22 | beam-mysql | 10 |
| 23 | ex_jack | 5 |
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