singer-sdk
By meltano
pipelinewise-target-s3-csv
Singer.io Target for CSV on S3 - PipelineWise compatible (by transferwise)
| singer-sdk | pipelinewise-target-s3-csv | |
|---|---|---|
| 2 | 1 | |
| - | 15 | |
| - | - | |
| - | 0.0 | |
| - | 8 months ago | |
| Python | ||
| - | 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.
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.
singer-sdk
Posts with mentions or reviews of singer-sdk.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-19.
-
Long term data ingestion plan: roll your own singer + cron, airbyte, meltano, something else?
Meltano can run any Singer tap or target, even if it's not discoverable out of the box. https://github.com/transferwise/pipelinewise-target-s3-csv is a pretty popular target for moving data to S3 as CSVs. Coupled with https://github.com/singer-io/tap-hubspot, https://meltano.com/plugins/extractors/quickbooks.html, and https://github.com/dcereijodo/tap-gsheets you should be able to get up and running. I'm not familiar with SnipeIT so I'm not sure if there's a tap for it, but we've been working on an SDK for Singer taps to make it really easy to build your own.
-
Meltano ELT: Open-Source DataOps for the DevOps Era
We're working on an SDK[0] for building taps that should make it much easier to build to the Singer spec with all of the features out of the box. In theory if you can write some python against whatever you're pulling data out of, then it can work within the Singer ecosystem and Meltano. It's nearly ready to go but we'd love feedback if you decide to test it out!
[0] https://gitlab.com/meltano/singer-sdk
pipelinewise-target-s3-csv
Posts with mentions or reviews of pipelinewise-target-s3-csv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-19.
-
Long term data ingestion plan: roll your own singer + cron, airbyte, meltano, something else?
Meltano can run any Singer tap or target, even if it's not discoverable out of the box. https://github.com/transferwise/pipelinewise-target-s3-csv is a pretty popular target for moving data to S3 as CSVs. Coupled with https://github.com/singer-io/tap-hubspot, https://meltano.com/plugins/extractors/quickbooks.html, and https://github.com/dcereijodo/tap-gsheets you should be able to get up and running. I'm not familiar with SnipeIT so I'm not sure if there's a tap for it, but we've been working on an SDK for Singer taps to make it really easy to build your own.
What are some alternatives?
When comparing singer-sdk and pipelinewise-target-s3-csv you can also consider the following projects:
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.
tap-hubspot
getting-started - Getting started with Docker
meltano
tap-gsheets - A Singer.io tap for Google Sheets data
getting-started - This repository is a getting started guide to Singer.
meltano - Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.