lst-bench VS Rath

Compare lst-bench vs Rath and see what are their differences.

lst-bench

LST-Bench is a framework that allows users to run benchmarks specifically designed for evaluating Log-Structured Tables (LSTs) such as Delta Lake, Apache Hudi, and Apache Iceberg. (by microsoft)
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lst-bench Rath
1 43
55 3,999
- 2.0%
8.8 6.4
5 days ago about 1 month ago
Java TypeScript
Apache License 2.0 GNU Affero General Public License v3.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

lst-bench

Posts with mentions or reviews of lst-bench. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-15.

Rath

Posts with mentions or reviews of Rath. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-15.

What are some alternatives?

When comparing lst-bench and Rath you can also consider the following projects:

openvino_notebooks - 📚 Jupyter notebook tutorials for OpenVINO™

superset - Apache Superset is a Data Visualization and Data Exploration Platform

chat-ui - Open source codebase powering the HuggingChat app

graphic-walker - An open source alternative to Tableau. Embeddable visual analytic

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...

pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

starcoder - Home of StarCoder: fine-tuning & inference!

PaLM-rlhf-pytorch - Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

serving-pytorch-models - Serving PyTorch models with TorchServe :fire:

lux - Automatically visualize your pandas dataframe via a single print! 📊 💡

netron - Visualizer for neural network, deep learning and machine learning models