Chalk VS BigDL

Compare Chalk vs BigDL and see what are their differences.

BigDL

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc. (by intel-analytics)
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Chalk BigDL
- 5
262 5,957
- 19.8%
0.0 9.9
- 3 days ago
Scala Python
- 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.

Chalk

Posts with mentions or reviews of Chalk. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Chalk yet.
Tracking mentions began in Dec 2020.

BigDL

Posts with mentions or reviews of BigDL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-31.

What are some alternatives?

When comparing Chalk and BigDL you can also consider the following projects:

Spark Notebook - Interactive and Reactive Data Science using Scala and Spark.

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

MGO - Purely functional genetic algorithms for multi-objective optimisation

Zeppelin - Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

Libra - A dimensional analysis library based on dependent types

Axle - Axle Domain Specific Language for Scientific Cloud Computing and Visualization

ND4S - ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J.

deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Smile - Statistical Machine Intelligence & Learning Engine

Spire - Powerful new number types and numeric abstractions for Scala.

Breeze - Breeze is a numerical processing library for Scala.

PredictionIO - PredictionIO, a machine learning server for developers and ML engineers.