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Top 23 Cython Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
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sparse_dot_topn
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
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RecSys_Course_AT_PoliMi
This is the official repository for the Recommender Systems course at Politecnico di Milano.
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Project mention: Step by step guide to create customized chatbot by using spaCy (Python NLP library) | dev.to | 2024-03-23Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
Project mention: Ask HN: Open-source Windows 11 backup solutions | news.ycombinator.com | 2024-04-04i use - and recommend - "borgbackup": for example with the "vorta" graphical frontend
* https://www.borgbackup.org/
* https://vorta.borgbase.com/install/windows/
just my 0.02€
Project mention: Ask HN: C/C++ developer wanting to learn efficient Python | news.ycombinator.com | 2024-04-10
For more information visit: virtualenv documentation.
Project mention: Emulation of Nintendo Game Boy (DMG-01) (2016) [pdf] | news.ycombinator.com | 2024-05-01
Project mention: Building a Dynamic Tile Server Using Cloud Optimized GeoTIFF(COG) with TiTiler | dev.to | 2023-12-21TiTiler is a dynamic tile server built on FastAPI and Rasterio/GDAL. Its main features include support for Cloud Optimized GeoTIFF(COG), multiple projection methods, various output formats (JPEG, JP2, PNG, WEBP, GTIFF, NumpyTile), WMTS, and virtual mosaic. It also provides Lambda and ECS deployment environments using AWS CDK.
Project mention: FFmpeg is getting better with multithreaded transcoding pipelines | news.ycombinator.com | 2023-11-06
Project mention: Is NautilusTrader compatible with MetaTrader5 Python Package? | /r/algotrading | 2023-06-21I recently found NautilusTrader. According to NautilusTrader, it can be integrated with Brokers/Exchange that provides REST, WebSocket or FIX API. Not sure if there is a work around to integrate MetaTrader5 Python to NautilusTrader.
Your issue is that you're using the default (old) binding to GDAL, based on Fiona [0].
You need to use pyogrio [1], its vectorized counterpart, instead. Make sure you use `engine="pyogrio"` when calling `to_file` [2]. Fiona does a loop in Python, while pyogrio is exclusively compiled. So pyogrio is usually about 10-15x faster than fiona. Soon, in pyogrio version 0.8, it will be another ~2-4x faster than pyogrio is now [3].
[0]: https://github.com/Toblerity/Fiona
[1]: https://github.com/geopandas/pyogrio
[2]: https://geopandas.org/en/stable/docs/reference/api/geopandas...
[3]: https://github.com/geopandas/pyogrio/pull/346
This is a great guide.
Also - despite the fact that language model embedding [1] are currently the hot rage, good old embedding models are more than good enough for most tasks.
With just a bit of tuning, they're generally as good at many sentence embedding tasks [2], and with good libraries [3] you're getting something like 400k sentence/sec on laptop CPU versus ~4k-15k sentences/sec on a v100 for LM embeddings.
When you should use language model embeddings:
- Multilingual tasks. While some embedding models are multilingual aligned (eg. MUSE [4]), you still need to route the sentence to the correct embedding model file (you need something like langdetect). It's also cumbersome, with one 400mb file per language.
For LM embedding models, many are multilingual aligned right away.
- Tasks that are very context specific or require fine-tuning. For instance, if you're making a RAG system for medical documents, the embedding space is best when it creates larger deviations for the difference between seemingly-related medical words.
This means models with more embedding dimensions, and heavily favors LM models over classic embedding models.
1. sbert.net
2. https://collaborate.princeton.edu/en/publications/a-simple-b...
3. https://github.com/oborchers/Fast_Sentence_Embeddings
4. https://github.com/facebookresearch/MUSE
Cython related posts
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Step by step guide to create customized chatbot by using spaCy (Python NLP library)
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Best AI SEO Tools for NLP Content Optimization
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A beginner’s guide to sentiment analysis using OceanBase and spaCy
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Against LLM Maximalism
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Ask HN: Is there a way to use Python statically typed or with any type-checking?
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Is anyone using PyPy for real work?
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How to predict this sequence?
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Index
What are some of the best open-source Cython projects? This list will help you:
Project | Stars | |
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1 | spaCy | 28,751 |
2 | BorgBackup | 10,559 |
3 | Cython | 8,935 |
4 | virtualenv | 4,714 |
5 | PyBoy | 4,432 |
6 | pyzmq | 3,549 |
7 | rasterio | 2,140 |
8 | tesserocr | 1,930 |
9 | pydensecrf | 1,918 |
10 | vidcutter | 1,730 |
11 | nautilus_trader | 1,557 |
12 | pyimgui | 1,262 |
13 | madmom | 1,240 |
14 | Fiona | 1,125 |
15 | nimporter | 813 |
16 | PySCIPOpt | 749 |
17 | Fast_Sentence_Embeddings | 603 |
18 | cymem | 433 |
19 | pysph | 424 |
20 | sparse_dot_topn | 381 |
21 | cyvcf2 | 357 |
22 | RecSys_Course_AT_PoliMi | 348 |
23 | cysimdjson | 339 |
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