beanie
SQLite
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| beanie | SQLite | |
|---|---|---|
| 11 | 39 | |
| 1,795 | 5,465 | |
| - | - | |
| 8.4 | 0.0 | |
| 5 days ago | 3 days ago | |
| Python | C | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
beanie
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Ask HN: Where do I find good code to read?
I recently came across Beanie. A Python ORM for MongoDb. A pleasure to work with and integrates well with FastAPI, the tests document the code well, and at this point it’s only as complicated as it needs to be.
https://github.com/roman-right/beanie
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What ORM/ODM do you use for mongo? or which one do you suggest for a large scale application
Beanie (https://beanie-odm.dev) is an ODM using Pydantic BaseModel :)
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starlette-admin: Simple and extensible admin interface framework for Starlette/FastApi
You may want to look at swapping mongoengine for beanie. That supports native pydantic data structures and has async support.
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Announcing Beanie ODM 1.8 - Relations, Cache, Actions and more!🎉🚀
Other link patterns are not supported for now. If you need something more specific for your use-case, please leave an issue on the GitHub page - https://github.com/roman-right/beanie
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Which ORM should I learn?
Document: Beanie
- Beanie - Python MongoDB ODM with Query Builder
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Beanie Projections. Reducing network and database load.
Today I want to introduce to you a new Beanie feature. MongoDB projections are supported now. It helps to reduce database load and makes your services more efficient.
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MongoDB indexes with Beanie
Beanie - Python ODM (Object Document Mapper) for MongoDB.
- Beanie - Python MongoDB ODM
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Indexes with Beanie. Creating a geo service.
Beanie - Python ODM (Object Document Mapper) for MongoDB, based on Pydantic and Motor.
SQLite
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A SQLite extension that brings column-oriented tables to SQLite
If you are into alternative storage engines for SQLite, there is also an LSM (Log-Structured Merge-tree) extension in the main repository that is not announced nor documented but seems to work. It’s based on the SQLite 4 project.
https://github.com/sqlite/sqlite/tree/master/ext/lsm1
https://www.charlesleifer.com/blog/lsm-key-value-storage-in-...
- SQLite License
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Ask HN: Where do I find good code to read?
The sqlite code base is really well done. Lots of documentation.
https://github.com/sqlite/sqlite
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Show HN: I wrote a RDBMS (SQLite clone) from scratch in pure Python
Especially the VM part: https://github.com/spandanb/learndb-py/blob/master/learndb/v...
Compare it with this: https://github.com/sqlite/sqlite/blob/master/src/vdbe.c
That's said, I'm curious how complete this LearnDB is. SQLite is hard to read not only it's old but also it covers a lot of SQL and following SQL spec makes hings complicated. SQLite has great test suite so it's nice if you run the suit against this implementation.
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SQLite Begin Concurrent
Correct, see the github mirror[1]. I don't know how well supported that feature is compared to main branch. If it was completely stable, then it would have already landed in the main stable branch. Clarity about the roadmap of that branch would be nice.
1. https://github.com/sqlite/sqlite/tree/begin-concurrent
- Why sqlite3 temp files were renamed 'etilqs_*' (2006)
- SQLite builds for WASI since 3.41.0
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SQLite VS sqlite_blaster - a user suggested alternative
2 projects | 17 Mar 2023
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Stop Saying “Technical Debt”
Including comprehensive comments, documentation and tests in a codebase takes time and effort.
Failing to do so creates code that is very difficult to maintain or for someone new to the codebase to understand.
However, time and effort may not be what the organization wants to pay for, and individuals may view their own incomprehensible code as something like job security, as they can't be replaced by someone else easily.
As an example of complicated code that's still well-documented, the open-source sqlite code is a good example, about 1/4 of the B-tree file is comments, every time a variable is defined there's a short note explaining what it's used for, every function has a comment header that's comprehensive, such that someone new to the codebase could construct a map of how it all works fairly quickly. It's a good model for how to avoid the problem:
https://github.com/sqlite/sqlite/blob/master/src/btree.c
- Ce aplicație v-ar plăcea să o studiați code related?
What are some alternatives?
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
sqlcipher - SQLCipher is a standalone fork of SQLite that adds 256 bit AES encryption of database files and other security features.
pydantic - Data validation using Python type hints
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
mongox - Familiar async Python MongoDB ODM
RocksDB - A library that provides an embeddable, persistent key-value store for fast storage.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
sqlite_orm - ❤️ SQLite ORM light header only library for modern C++
beanie-fastapi-demo - Demo project
bolt
pydantic-aioredis - A Declarative ORM for Redis using Pydantic Models and aioredis
phpMyAdmin - A web interface for MySQL and MariaDB