NeumAI VS airbyte

Compare NeumAI vs airbyte and see what are their differences.

NeumAI

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale. (by NeumTry)

airbyte

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted. (by airbytehq)
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NeumAI airbyte
2 140
785 14,296
3.9% 4.1%
8.7 10.0
4 months ago 2 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

NeumAI

Posts with mentions or reviews of NeumAI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-21.

airbyte

Posts with mentions or reviews of airbyte. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.

What are some alternatives?

When comparing NeumAI and airbyte you can also consider the following projects:

phidata - Memory, knowledge and tools for LLMs

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

versatile-data-kit - One framework to develop, deploy and operate data workflows with Python and SQL.

dagster - An orchestration platform for the development, production, and observation of data assets.

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

searchGPT - Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.

meltano

vektor - a mini vector database implementation that intends to be educational and interpretable

jitsu - Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

retake - PostgreSQL for Search [Moved to: https://github.com/paradedb/paradedb]

spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs