ibis
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ibis | sqlite_scanner | |
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23 | 4 | |
4,074 | 184 | |
7.9% | 2.2% | |
10.0 | 8.3 | |
6 days ago | 14 days ago | |
Python | C | |
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.
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
sqlite_scanner
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DuckDB 0.7.0
It's not a dumb question at all. I'm pretty knowledgeable with DBs and still find it very difficult to understand how many of these front-end/pass-through engines work.
Checkout Postgres Foreign Data Wrappers. That might be the most well known approach for accessing one database through another. The Supabase team wrote an interesting piece about this recently.
https://supabase.com/blog/postgres-foreign-data-wrappers-rus...
You might also want to try out duckdb's approach to reading other DBs (or DB files). They talk about how they can "import" a sqlite DB in the above 0.7.0 announcement, but also have some other examples in their duckdblabs github project. Check out their "...-scanner" repos:
https://github.com/duckdblabs/postgres_scanner
https://github.com/duckdblabs/sqlite_scanner
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Notes on the SQLite DuckDB Paper
DuckDB can actually read SQLite or Postgres directly! In the SQLite case, something like Litestream plus DuckDB could work really well!
Also, with Pyarrow's help, DuckDB can already do this with Delta tables!
https://github.com/duckdblabs/sqlite_scanner
https://github.com/duckdblabs/postgresscanner
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Friendlier SQL with DuckDB
Excellent question! I'll jump in - I am a part of the DuckDB team though, so if other users have thoughts it would be great to get other perspectives as well.
First things first - we really like quite a lot about the SQLite approach. DuckDB is similarly easy to install and is built without dependencies, just like SQLite. It also runs in the same process as your application just like SQLite does. SQLite is excellent as a transactional database - lots of very specific inserts, updates, and deletes (called OLTP workloads). DuckDB can also read directly out of SQLite files as well, so you can mix and match them! (https://github.com/duckdblabs/sqlitescanner)
DuckDB is much faster than SQLite when doing analytical queries (OLAP) like when calculating summaries or trends over time, or joining large tables together. It can use all of your CPU cores for sometimes ~100x speedup over SQLite.
DuckDB also has some enhancements with respect to data transfer in and out of it. It can natively read Pandas, R, and Julia dataframes, and can read parquet files directly also (meaning without inserting first!).
Does that help? Happy to add more details!
- DuckDB extension to read SQLite databases
What are some alternatives?
snowflake-connector-python - Snowflake Connector for Python
react-native-quick-sqlite - Fast SQLite for react-native.
PySpark-Boilerplate - A boilerplate for writing PySpark Jobs
ClickBench - ClickBench: a Benchmark For Analytical Databases
Apache Impala - Apache Impala
sqlitestudio - A free, open source, multi-platform SQLite database manager.
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
duckdb - DuckDB is an in-process SQL OLAP Database Management System
katacoda
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀
nodejs-polars - nodejs front-end of polars
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