pachyderm
nebula
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pachyderm | nebula | |
---|---|---|
8 | 9 | |
6,071 | 150 | |
0.3% | 2.0% | |
9.8 | 7.4 | |
8 days ago | about 2 months ago | |
Go | C++ | |
Apache License 2.0 | 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.
pachyderm
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Open Source Advent Fun Wraps Up!
20. Pachyderm | Github | tutorial
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Pachyderm specializes in creating compliance-focused pipelines that integrate with enterprise-level storage solutions.
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Show HN: We scaled Git to support 1 TB repos
There are a couple of other contenders in this space. DVC (https://dvc.org/) seems most similar.
If you're interested in something you can self-host... I work on Pachyderm (https://github.com/pachyderm/pachyderm), which doesn't have a Git-like interface, but also implements data versioning. Our approach de-duplicates between files (even very small files), and our storage algorithm doesn't create objects proportional to O(n) directory nesting depth as Xet appears to. (Xet is very much like Git in that respect.)
The data versioning system enables us to run pipelines based on changes to your data; the pipelines declare what files they read, and that allows us to schedule processing jobs that only reprocess new or changed data, while still giving you a full view of what "would" have happened if all the data had been reprocessed. This, to me, is the key advantage of data versioning; you can save hundreds of thousands of dollars on compute. Being able to undo an oopsie is just icing on the cake.
Xet's system for mounting a remote repo as a filesystem is a good idea. We do that too :)
- pachyderm: Data-Centric Pipelines and Data Versioning
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Awesome list of VCs investing in commercial open-source startups
Pachyderm - License prevents competition.
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Airflow's Problem
I was at Airbnb when we open-sourced Airflow, it was a great solution to the problems we had at the time. It's amazing how many more use cases people have found for it since then. At the time it was pretty focused on solving our problem of orchestrating a largely static DAG of SQL jobs. It could do other stuff even then, but that was mostly what we were using it for. Airflow has become a victim of its success as it's expanded to meet every problem which could ever be considered a data workflow. The flaws and horror stories in the post and comments here definitely resonate with me. Around the time Airflow was opensource I starting working on data-centric approach to workflow management called Pachyderm[0]. By data-centric I mean that it's focused around the data itself, and its storage, versioning, orchestration and lineage. This leads to a system that feels radically different from a job focused system like Airflow. In a data-centric system your spaghetti nest of DAGs is greatly simplified as the data itself is used to describe most of the complexity. The benefit is that data is a lot simpler to reason about, it's not a living thing that needs to run in a certain way, it just exists, and because it's versioned you have strong guarantees about how it can change.
[0] https://github.com/pachyderm/pachyderm
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One secret tip for first-time OSS contributors. Shh! 🤫 don't tell anyone else
Here is a demo run of lgtm on pachyderm
- Dud: a tool for versioning data alongside source code, written in Go
nebula
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Show HN: Turn any data into a fast analytical API
we use our in-house baked engine - open sourced here https://github.com/varchar-io/nebula
Yeah, Tinybird has lots of similarities, I will do more research on it, thanks for the reference.
- Show HN: Visualize your streaming data in real-time
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How would you build a BI platform that delivers "real time" insights to users on their smartphones and computer devices in a company of about 200 people?
Take a look at this open source project - it may be helpful - https://github.com/varchar-io/nebula
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Streaming multi-file SQL and CSV/TSV/etc., native/WASM and fastest CSV parser
cool - I also hand crafted a CSV parser following RFC4180 a while ago, not sure if you have a repeatable way to benchmark the performance difference?
https://github.com/varchar-io/nebula/blob/master/src/storage...
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Looking for a recommendation for basic, cloud or server based reporting.
- if you look for hosting solution by yourself, bringing up a nebula cluster (even a single node) is simple, check out https://github.com/varchar-io/nebula
- Introduce an open-source project in data engineering
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How is Elasticsearch similar to MongoDB in terms of data storage and usage?
Many modern data systems are designed in a similar way - extract, index, and query in including many low-latency real-time analytical systems, such as clickhouse, druid, pinot, nebula. Take nebula (https://github.com/varchar-io/nebula) as an example - it connects real-time storage engines like Kafka, cloud storage, or pubsub systems, extracts and index data from message queue into its own distributed system, providing low latency query on top of it for business use cases.
- Extremely-Fast Interactive Big Data Analytics
What are some alternatives?
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
AlphaPlot - :chart_with_upwards_trend: Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
zsv - zsv+lib: world's fastest (simd) CSV parser, bare metal or wasm, with an extensible CLI for SQL querying, format conversion and more
dud - A lightweight CLI tool for versioning data alongside source code and building data pipelines.
rpc-websockets - JSON-RPC 2.0 implementation over WebSockets for Node.js and JavaScript/TypeScript
beneath - Beneath is a serverless real-time data platform ⚡️
oneDAL - oneAPI Data Analytics Library (oneDAL)
typhoon-orchestrator - Create elegant data pipelines and deploy to AWS Lambda or Airflow
covid-19 - COVID-19 World is yet another Project to build a Dashboard like app to showcase the data related to the COVID-19(Corona Virus).
tsuru - Open source and extensible Platform as a Service (PaaS).
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.