awesome-data-temporality VS pkgx

Compare awesome-data-temporality vs pkgx and see what are their differences.

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awesome-data-temporality pkgx
17 47
96 8,723
- 0.7%
10.0 9.0
over 1 year ago 6 days ago
TypeScript
- 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.

awesome-data-temporality

Posts with mentions or reviews of awesome-data-temporality. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-14.

pkgx

Posts with mentions or reviews of pkgx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-27.

What are some alternatives?

When comparing awesome-data-temporality and pkgx you can also consider the following projects:

jdbc-connector-for-apache-kafka - Aiven's JDBC Sink and Source Connectors for Apache Kafka®

nix - Nix, the purely functional package manager

sqlalchemy-easy-softdelete - Easily add soft-deletion to your SQLAlchemy Models

litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

sql-cli-for-apache-flink-docker - SQL CLI for Apache Flink® via docker-compose

Llama-2-Onnx

databathing

macports-base - The MacPorts command-line client

rift - Rift: an AI-native language server for your personal AI software engineer

symmetric-ds - SymmetricDS is database replication and file synchronization software that is platform independent, web enabled, and database agnostic. It is designed to make bi-directional data replication fast, easy, and resilient. It scales to a large number of nodes and works in near real-time across WAN and LAN networks.

white-paper - how will the protocol work?