oneDAL
nebula
| oneDAL | nebula | |
|---|---|---|
| 1 | 9 | |
| 593 | 150 | |
| 0.3% | 0.7% | |
| 9.3 | 7.4 | |
| 7 days ago | 2 months ago | |
| C++ | 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.
oneDAL
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?
scikit-learn-intelex - Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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.
Data-Structures-and-Algorithms - Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star 🌟 if it helps you.
zsv - zsv+lib: tabular data swiss-army knife CLI + world's fastest (simd) CSV parser
DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
rpc-websockets - JSON-RPC 2.0 implementation over WebSockets for Node.js and JavaScript/TypeScript
ClickHouse - ClickHouse® is a free analytics DBMS for big data
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).
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
pachyderm - Data-Centric Pipelines and Data Versioning
twinning - Data Twinning
perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.