chdb VS nncf

Compare chdb vs nncf and see what are their differences.

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chdb nncf
18 2
1,726 825
4.8% 7.9%
9.5 9.7
about 22 hours ago about 21 hours ago
C++ Python
Apache License 2.0 Apache License 2.0
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.

chdb

Posts with mentions or reviews of chdb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-06.

nncf

Posts with mentions or reviews of nncf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-06.

What are some alternatives?

When comparing chdb and nncf you can also consider the following projects:

risingwave - SQL stream processing, analytics, and management. PostgreSQL simplicity, unrivaled performance, and seamless elasticity. 🚀 10x more productive. 🚀 10x more cost-efficient.

gpt-llm-trainer

openvino_notebooks - 📚 Jupyter notebook tutorials for OpenVINO™

model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

duckdb-wasm - WebAssembly version of DuckDB

json-masker - High-performance JSON masker library in Java with no runtime dependencies

chdb-cli - Simple CLI / REPL for chdb made in Python

Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks

sqlite_blaster_python - A library for creating huge Sqlite indexes at breakneck speeds

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

glaredb - GlareDB: An analytics DBMS for distributed data

open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)