trellis VS airbyte

Compare trellis vs airbyte and see what are their differences.

trellis

Write Dockerfiles and CI pipelines in TypeScript. (by charliermarsh)

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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trellis airbyte
1 139
27 14,054
- 2.4%
10.0 10.0
over 1 year ago 4 days ago
TypeScript Python
MIT License 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.

trellis

Posts with mentions or reviews of trellis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-28.
  • Show HN: Depot – fast, remote Docker container builds
    5 projects | news.ycombinator.com | 28 Sep 2022
    Another unusual alternative is to model your test running _as_ a Docker build. It's what I ended up doing in Trellis, which supports Depot as a runner (https://github.com/charliermarsh/trellis): running the linter check is modeled as "build the image, then add a `cargo clippy` RUN command as the last layer".

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 trellis and airbyte you can also consider the following projects:

build-push-action - GitHub Action to build and push Docker images with Depot

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

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

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

meltano

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

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

dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

supabase - The open source Firebase alternative.

dbt - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. [Moved to: https://github.com/dbt-labs/dbt-core]

n8n-docs - Documentation for n8n, a fair-code licensed automation tool with a free community edition and powerful enterprise options. Build AI functionality into your workflows.

incubator-seatunnel - SeaTunnel is a distributed, high-performance data integration platform for the synchronization and transformation of massive data (offline & real-time). [Moved to: https://github.com/apache/seatunnel]