gevent
pymssql
| gevent | pymssql | |
|---|---|---|
| 5 | 6 | |
| 6,163 | 812 | |
| 0.2% | 0.4% | |
| 8.7 | 8.6 | |
| 3 months ago | 27 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | LGPL |
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.
gevent
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Is anyone using PyPy for real work?
A sub-question for the folks here: is anyone using the combination of gevent and PyPy for a production application? Or, more generally, other libraries that do deep monkey-patching across the Python standard library?
Things like https://github.com/gevent/gevent/issues/676 and the fix at https://github.com/gevent/gevent/commit/f466ec51ea74755c5bee... indicate to me that there are subtleties on how PyPy's memory management interacts with low-level tweaks like gevent that have relied on often-implicit historical assumptions about memory management timing.
Not sure if this is limited to gevent, either - other libraries like Sentry, NewRelic, and OpenTelemetry also have low-level monkey-patched hooks, and it's unclear whether they're low-level enough that they might run into similar issues.
For a stack without any monkey-patching I'd be overjoyed to use PyPy - but between gevent and these monitoring tools, practically every project needs at least some monkey-patching, and I think that there's a lack of clarity on how battle-tested PyPy is with tools like these.
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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How to Choose the Right Python Concurrency API
I'm not sure how much it replicates the CSP model, but the closest thing I've found to Go-style concurrency in Python is gevent: https://github.com/gevent/gevent
I personally still prefer to use it in all my projects.
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I have a problem with installing Ajenti on a 64bit Ubuntu 21.04 server
Greenlet seems to have some troubles compiling with Python 3.9. https://github.com/gevent/gevent/issues/1627
pymssql
- Is anyone using PyPy for real work?
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Uploading CSV files in MSSQL database daily
Install pymssql, connect to the database, read data from files and do a lot of inserts.
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What does Java do better than Python?
Support of vendors. For example, the MS SQL driver for Python is developed from community a nd for some time it was in a maintenance state because developer stopped the project (see this). Instead, the JDBC driver is developed directly from Microsoft
- Has anyone managed to connect to a SQL Server with Python on a Mac M1?
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If you frequently use pymssql, checkout my first library: pymssql-utils. Any feedback would also be greatly appreciated!
pymssql-utils is a small library that wraps pymssql with the aim to make your life easier, and your database admins slightly happier.
- Pornspammer buys expired FOSS domain, edits its Read The Docs site
What are some alternatives?
eventlet - Concurrent networking library for Python
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
dataset - Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
Faust - Python Stream Processing
awesome-mysql - A curated list of awesome MySQL software, libraries, tools and resources
Thespian Actor Library - Python Actor concurrency library
SuperSQLite - A supercharged SQLite library for Python
kombu - Messaging library for Python.
apsw - Another Python SQLite wrapper
Tomorrow - Magic decorator syntax for asynchronous code in Python
clickhouse-driver - ClickHouse Python Driver with native interface support