Dagster
Dagster is a data orchestrator for machine learning, analytics, and ETL.
Dagster lets you define pipelines in terms of the data flow between reusable, logical components, then test locally and run anywhere. With a unified view of pipelines and the assets they produce, Dagster can schedule and orchestrate Pandas, Spark, SQL, or anything else that Python can invoke.
Dagster is designed for data platform engineers, data engineers, and full-stack data scientists. Building a data platform with Dagster makes your stakeholders more independent and your systems more robust. Developing data pipelines with Dagster makes testing easier and deploying faster.
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1 maintainer
Release files for dagster-custom 0.12.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dagster_custom-0.12.14.tar.gz | 893.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dagster_custom-0.12.14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.1 MB
Release files / dagster_custom-0.12.14.tar.gz
| Download URL | dagster_custom-0.12.14.tar.gz |
|---|---|
| Size | 893.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.10
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Release files / dagster_custom-0.12.14-py3-none-any.whl
| Download URL | dagster_custom-0.12.14-py3-none-any.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.10
|
