elementary
lightdash
elementary | lightdash | |
---|---|---|
30 | 13 | |
1,740 | 3,419 | |
1.8% | 1.7% | |
9.8 | 10.0 | |
2 days ago | about 18 hours ago | |
HTML | TypeScript | |
Apache License 2.0 | MIT License |
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.
elementary
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Open source data observability tools with UI?
Check out https://github.com/elementary-data/elementary
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Data Validation tools
In this case, do https://github.com/elementary-data/elementary or https://greatexpectations.io help?
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SQL “Visualization” Website/Resource?
That makes explain little easier to read. No graph though. Also https://github.com/elementary-data/elementary should know howto draw pretty graphs for data lineage ( ie. what columns comes where and is used how)
- Open source dbt tests monitoring
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Suggestions for open source anomaly-detection, linting and metadata solutions?
there is elementary lineage / elementary-data which seems to be good try to solve those problem, i havent tested it well https://github.com/elementary-data/elementary
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Snowflake SQL AST parser?
Some things you might be interested in are re_data and Elementary Data.
- Launch HN: Elementary (YC W22) – Open-source data observability
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Data lineage info to a table in the DWH
Hi all, As part of building Elementary (open source data reliability), we implemented support of a new Snowflake feature (write operations in the access_history view). The change they made is most useful for understanding data lineage, which we solve (among other use cases :)).
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Launch HN: Metaplane (YC W20) – Datadog for Data
I recently stumbled on an open-source tool with a similar premise: https://github.com/elementary-data/elementary-lineage
you can check it out
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Lightweight data profiling tools / relationship discovery
Hi! we are working on an open source data lineage solution that might be helpful for your use case to learn the relationship between tables, we don't support column level just yet but we are working on it. Please let me know if we can help somehow and feel free to check it out here - https://github.com/elementary-data/elementary-lineage
lightdash
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Apache Superset
> YAML, pivoting being done in the frontend, no symmetric aggregates
(one of the maintainers of Lightdash) You touched on some of our most interesting problems here! Would be especially interested to hear about what you liked / didn't like about symmetric aggregates in Looker and how you find dev with YAML. If you have an idea of how you'd like these to look in Lightdash, the team would be really open to making that a reality.
For pivoting in the backend, this is coming! Issue here: https://github.com/lightdash/lightdash/issues/2907
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What are the 5 hottest dbt Repositories one should star on GitHub 2022?
What are the 5 hottest dbt Repositories one should star on Github 2022?
dbt is a software framework that sits in the middle of the ELT process. It represents the transformative layer after loading data from an original source. Dbt combines SQL with software engineering principles.
Here are my top5!
- Lightdash (https://github.com/lightdash/lightdash): Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface.
- ⏎ re_data (https://github.com/re-data/re-data): Re-Data is an abstraction layer that helps users monitor dbt projects and their underlying data. For example, you get alerts when a test failed or a data anomaly occurs in a dbt project.
- evidence (https://github.com/evidence-dev/evidence): Evidence is another tool for lightweight BI reporting. With Evidence, you can build simple reports in "medium style" using SQL queries and Markdown.
- Kuwala (https://github.com/kuwala-io/kuwala): With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time.
- fal ai (https://github.com/fal-ai/fal): Fal helps to run Python scripts directly from the dbt project. For example, you can load dbt models directly into the Python context which helps to apply Data Science libraries like SKlearn and Prophet in the dbt models.
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What are the hottest dbt Repositories you should star on Github 2022? - Here are mine.
Lightdash ( https://github.com/lightdash/lightdash ) Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface. The front end helps to understand and extend the underlying SQL queries. Lightdash also visualizes business metrics and makes them shareable with the data team. It is also possible to integrate all data into another visualization tool.
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What are your hottest dbt repositories in 2022 so far? Here are mine!
- ⚡️ Lightdash: Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface.
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Data pipeline suggestions
Visualization / Analysis: Lightdash, Superset
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Where can I find free data engineering ( big data) projects online?
Ingestion / ETL: Airbyte, Singer, Jitsu Transformation: dbt Orchestration: Airflow, Dagster Testing: GreatExpectations Observability: Monosi Reverse ETL: Grouparoo, Castled Visualization: Lightdash, Superset
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Launch HN: Metaplane (YC W20) – Datadog for Data
1) An integration with Metabase Cloud is on our roadmap for Q1! We'd love to integrate with Lightdash, but they don't have a public API just yet[1].
2) Several of our customers use us to alert on schema changes in Postgres, specifically so they can get ahead of application database changes that will end up in the warehouse, so you're definitely not alone! Here's a link on how to connect postgres: https://docs.metaplane.dev/docs/postgres
That's an excellent stack and one we kept front and center when building out Metaplane, so definitely let us know if you have any feedback or suggestions here!
[1]: https://github.com/lightdash/lightdash/issues/632
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what's your experience with Looker ?
I would recommend lightdash which is essentially an open source Looker clone https://github.com/lightdash/lightdash
- a full semantic model based on dbt, dimensions, joins and metrics
- An open source alternative to Looker built using dbt. Made for analysts
What are some alternatives?
re_data - re_data - fix data issues before your users & CEO would discover them 😊
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
sqllineage - SQL Lineage Analysis Tool powered by Python
superset - Apache Superset is a Data Visualization and Data Exploration Platform
dbt-data-reliability - dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
Rakam - 📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)
tiddlywiki-docker - Tools for running TiddlyWiki via a Docker container
trino_data_mesh - Proof of concept on how to gain insights with Trino across different databases from a distributed data mesh
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
streamlit - Streamlit — A faster way to build and share data apps.
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
castled - Castled is an open source reverse ETL solution that helps you to periodically sync the data in your db/warehouse into sales, marketing, support or custom apps without any help from engineering teams