GLEE VS tracecat

Compare GLEE vs tracecat and see what are their differences.

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GLEE tracecat
1 2
921 2,034
2.2% 96.8%
6.1 9.9
13 days ago about 20 hours ago
Python TypeScript
MIT License 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.

GLEE

Posts with mentions or reviews of GLEE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-01.

tracecat

Posts with mentions or reviews of tracecat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-01.

What are some alternatives?

When comparing GLEE and tracecat you can also consider the following projects:

speedb - A RocksDB compliant high performance scalable embedded key-value store

DataDreamer - DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

axolotl - Go ahead and axolotl questions

CML_AMP-to-Airgapped - Download the AMP catalog for an offline (airgapped) deployment of the AMP catalog.

graphql-ws - Coherent, zero-dependency, lazy, simple, GraphQL over WebSocket Protocol compliant server and client.

llama_index - LlamaIndex is a data framework for your LLM applications

FLaNK-python-processors - Many processors

lapdev - Self-Hosted Remote Dev Environment

MyScaleDB - An open-source, high-performance SQL vector database built on ClickHouse.

Crate - CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

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