BigDL VS Persist-Units

Compare BigDL vs Persist-Units 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)

Persist-Units

Scala Units of Measure Types (by nestorpersist)
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BigDL Persist-Units
5 -
6,051 9
17.1% -
9.9 0.0
4 days ago over 7 years ago
Python Scala
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.

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.

Persist-Units

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

We haven't tracked posts mentioning Persist-Units yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing BigDL and Persist-Units you can also consider the following projects:

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

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

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

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

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

OpenMOLE - Workflow engine for exploration of simulation models using high throughput computing

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

FACTORIE - FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

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

Breeze - Breeze is a numerical processing library for Scala.

Chalk