fragments
Transform and compose data for HTTP transactions. (by omhq)
optimus
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management. (by raystack)
SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
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featured
fragments | optimus | |
---|---|---|
2 | 5 | |
14 | 737 | |
- | 0.1% | |
2.8 | 4.4 | |
10 months ago | 6 months ago | |
TypeScript | Go | |
- | 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.
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.
fragments
Posts with mentions or reviews of fragments.
We have used some of these posts to build our list of alternatives
and similar projects.
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Fetch and transform data from a source and expose a REST API
I built this https://github.com/corpulent/fragments as an experiment/POC for fetching and transforming data from various sources and exposing it via a REST API for consumption in BI dashboards, apps, and so on. Jinja defines the structure a REST API should return, users can write custom functions to transform data. Data gets optionally cached after its processed the first time so consecutive API calls are instant. Jinja is optional, and users can just write Python code.
GraphQL is a similar idea to this.
I am burned out trying to figure out good use cases, a market to approach, and generally in what ways to expand on it further. So I am reaching out to the community in hopes of gaining some insights or ideas!
Thanks in advance.
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Sharing my data engineering project/idea, using jinja, docker, k8s, react UI.
Repo here https://github.com/corpulent/fragments
optimus
Posts with mentions or reviews of optimus.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-18.
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Data Engineering Tools in Go
You can check odpf github, they created some dataops tools using go, one of the example is optimus (https://github.com/odpf/optimus) which is a data pipeline orchestrator
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Modern open-source data platform that empowers organizations to discover, transform, analyse and secure data faster and efficiently.
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
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Seeking opinions on workflow/DAG orchestration with Go
this may help: https://github.com/odpf/optimus
- Optimus - An easy-to-use, reliable and performant workflow orchestrator for data transformation, data modeling, pipelines and data quality management
- GitHub - odpf/optimus: Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
What are some alternatives?
When comparing fragments and optimus you can also consider the following projects:
turnilo - Business intelligence, data exploration and visualization web application for Druid, formerly known as Swiv and Pivot
cadence - Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.