Our great sponsors
grai-core | ibis | |
---|---|---|
6 | 23 | |
269 | 4,208 | |
3.0% | 10.9% | |
9.5 | 10.0 | |
4 days ago | 1 day ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
grai-core
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Launch HN: Grai (YC S22) – Open-Source Data Observability Platform
Elastic v2 if one is interested in such things: https://github.com/grai-io/grai-core/blob/v0.1.33/LICENSE
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Standalone lineage tool
I’m not sure if this is precisely what you’re looking for but Grai might serve your needs. The backend data model allows you to push any arbitrary metadata you want / need onto the lineage graph and retrieve it either through the rest or graph API. I’m one of the authors so happy to answer any questions you might have.
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Data Load Diagram
We've been looking at building something like this for Grai specifically to support Airflow but haven't yet prioritized it.
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Grai, a self-hosted data lineage tool. Test downstream impact of data migration changes
We were frustrated because although we had tests in our data warehouse, they only notified us after an outage occurred. What we needed was a way to detect changes during CI/CD, so we could fix things before they impacted production. So we developed Grai, as an open-source data lineage toolkit pre-built integrations for the most common data stores and designed to work with CI tools, like Github Actions.
ibis
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Show HN: Hashquery, a Python library for defining reusable analysis
I really don't understand the appeal of dbt vs a proper programming language. The templating approach leads to massive spaghetti. I look forward to trying out something like Ibis [0]
0: https://ibis-project.org/
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This Week In Python
ibis – portable Python dataframe library
- Ibis: The portable Python dataframe library
- FLaNK Stack 26 February 2024
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Quarto
The main benefit is that you get a Python (or R, Julia or Rust) interpreter. So you can evaluate code. A good example of the value of this is the Ibis docs which use Quarto: https://ibis-project.org/
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Polars – A bird's eye view of Polars
Ive found polars quite intuitive, though for python, I lean more towards [ibis](https://ibis-project.org/). The interface is nearly identical, but ibis has the benefit if building sql queries before pulling any actual data (like dbplyr) — whereas polars requires the data to be in-memory (at least for rdb’s, though correct me if Im wrong)
this to me seems like a good argument for only using ibis, but Im happy to be convinced otherwise
- Ibis – Universal Interface for Data Wrangling
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Vanna.ai: Chat with your SQL database
Please add Ibis Birdbrain https://ibis-project.github.io/ibis-birdbrain/ to the list. Birdbrain is an AI-powered data bot, built on Ibis and Marvin, supporting more than 18 database backends.
See https://github.com/ibis-project/ibis and https://ibis-project.org for more details.
- Ibis
What are some alternatives?
dbt-snowflake-monitoring - A dbt package from SELECT to help you monitor Snowflake performance and costs
snowflake-connector-python - Snowflake Connector for Python
awesome-data-catalogs - 📙 Awesome Data Catalogs and Observability Platforms.
PySpark-Boilerplate - A boilerplate for writing PySpark Jobs
jupysql - Better SQL in Jupyter. 📊
Apache Impala - Apache Impala
MindsDB - The platform for customizing AI from enterprise data
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
django-pgschemas - Django multi-tenancy through Postgres schemas
sqlite_scanner - DuckDB extension to read and write to SQLite databases
sqlparse - A non-validating SQL parser module for Python
katacoda