anoma
orchest
anoma | orchest | |
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4 | 44 | |
377 | 4,022 | |
- | 0.1% | |
0.0 | 4.5 | |
12 months ago | 11 months ago | |
Rust | TypeScript | |
GNU General Public License v3.0 only | 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.
anoma
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Official /r/rust "Who's Hiring" thread for job-seekers and job-offerers [Rust 1.60]
COMPANY: Heliax (Project: Anoma)
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Ask HN: Who is hiring? (April 2022)
Heliax | Various Senior Software Engineer | remote or onsite (Zug Switzerland or Berlin) | https://anoma.network
The primary project of Heliax is the Anoma protocol (implemented in Rust). Anoma is a sovereign, proof-of-stake blockchain protocol that enables private, asset-agnostic cash and private bartering among any number of parties. In addition to Anoma, Heliax works on open-source projects which are part of the Anoma ecosystem, including but not limited to research in cryptographic libraries such as the MASP or Ferveo (written in Rust), and tools for high assurance validity predicates and arbitrary zero-knowledge circuits (Juvix, written in Haskell).
Heliax is a remote-first team, currently composed of cross-disciplinary members located around the world. All of our work is open-source. Our work culture is characterized by open-allocation, where team members have a high degree of freedom and autonomy in choosing when to work, what to work on, and whom to work with.
Roles:
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Bandersnatch: a fast elliptic curve built over the BLS12-381 scalar field
Introducing Bandersnatch, a new elliptic curve built over the BLS12-381 scalar field in a paper co-written by Simon Masson, a zero-knowledge cryptography researcher from the team building Anoma. BLS12-381 is a pairing-friendly curve, universally used for digital signatures and zero-knowledge proofs by many projects, one being Anoma.
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RiB Newsletter #26
Anoma. Implementation of the Anoma protocol in Rust. Anoma is a sovereign, proof-of-stake blockchain protocol that enables private, asset-agnostic cash and private bartering among any number of parties. The paper: Anoma: Undefining Money.
orchest
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Decent low code options for orchestration and building data flows?
You can check out our OSS https://github.com/orchest/orchest
- Build ML workflows with Jupyter notebooks
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Building container images in Kubernetes, how would you approach it?
The code example is part of our ELT/data pipeline tool called Orchest: https://github.com/orchest/orchest/
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Launch HN: Patterns (YC S21) – A much faster way to build and deploy data apps
First want to say congrats to the Patterns team for creating a gorgeous looking tool. Very minimal and approachable. Massive kudos!
Disclaimer: we're building something very similar and I'm curious about a couple of things.
One of the questions our users have asked us often is how to minimize the dependence on "product specific" components/nodes/steps. For example, if you write CI for GitHub Actions you may use a bunch of GitHub Action references.
Looking at the `graph.yml` in some of the examples you shared you use a similar approach (e.g. patterns/openai-completion@v4). That means that whenever you depend on such components your automation/data pipeline becomes more tied to the specific tool (GitHub Actions/Patterns), effectively locking in users.
How are you helping users feel comfortable with that problem (I don't want to invest in something that's not portable)? It's something we've struggled with ourselves as we're expanding the "out of the box" capabilities you get.
Furthermore, would have loved to see this as an open source project. But I guess the second best thing to open source is some open source contributions and `dcp` and `common-model` look quite interesting!
For those who are curious, I'm one of the authors of https://github.com/orchest/orchest
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Argo became a graduated CNCF project
Haven't tried it. In its favor, Argo is vendor neutral and is really easy to set up in a local k8s environment like docker for desktop or minikube. If you already use k8s for configuration, service discovery, secret management, etc, it's dead simple to set up and use (avoiding configuration having to learn a whole new workflow configuration language in addition to k8s). The big downside is that it doesn't have a visual DAG editor (although that might be a positive for engineers having to fix workflows written by non-programmers), but the relatively bare-metal nature of Argo means that it's fairly easy to use it as an underlying engine for a more opinionated or lower-code framework (orchest is a notable one out now).
- Ideas for infrastructure and tooling to use for frequent model retraining?
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Looking for a mentor in MLOps. I am a lead developer.
If you’d like to try something for you data workflows that’s vendor agnostic (k8s based) and open source you can check out our project: https://github.com/orchest/orchest
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Is there a good way to trigger data pipelines by event instead of cron?
You can find it here: https://github.com/orchest/orchest Convenience install script: https://github.com/orchest/orchest#installation
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How do you deal with parallelising parts of an ML pipeline especially on Python?
We automatically provide container level parallelism in Orchest: https://github.com/orchest/orchest
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Launch HN: Sematic (YC S22) – Open-source framework to build ML pipelines faster
For people in this thread interested in what this tool is an alternative to: Airflow, Luigi, Kubeflow, Kedro, Flyte, Metaflow, Sagemaker Pipelines, GCP Vertex Workbench, Azure Data Factory, Azure ML, Dagster, DVC, ClearML, Prefect, Pachyderm, and Orchest.
Disclaimer: author of Orchest https://github.com/orchest/orchest
What are some alternatives?
jsonrpsee - Rust JSON-RPC library on top of async/await
docker-airflow - Docker Apache Airflow
winterfell - A STARK prover and verifier for arbitrary computations
hookdeck-cli - Receive events (e.g. webhooks) in your development environment
Nova - Nova: High-speed recursive arguments from folding schemes
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
OctaSine - Frequency modulation synthesizer plugin (VST2, CLAP). Runs on macOS, Windows and Linux.
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
callbag-rs - Rust implementation of the callbag spec for reactive/iterable programming
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
librabft_simulator - Discrete-event simulation for BFT consensus protocols
Node RED - Low-code programming for event-driven applications