td
gonum
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td | gonum | |
---|---|---|
19 | 24 | |
6,413 | 7,226 | |
2.4% | 1.9% | |
10.0 | 8.2 | |
8 days ago | 1 day ago | |
C++ | Go | |
Boost Software License 1.0 | BSD 3-clause "New" or "Revised" 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.
td
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Please a linux client... I'm missing it more than a mobile app.
It would be a good idea for Proton to write Drive using something similar to Telegram's https://github.com/tdlib/td. That way they could write their official clients more easily, and third party clients could be created with a lot of the work done.
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telega.el - GNU Emacs telegram client
The problem there is mostly with how they're doing releases for tdlib: They create proper releases for major versions (like 1.7.0, 1.8.0), and then nothing for all for point releases (like 1.7.1), not even git tags - they're seeing those releases as development releases. They do a lot of (breaking) changes and new features between releases - so while distributions might want to stick with proper releases others might want to follow git (and the author is following git with his development branch).
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PHP Extension written with C++. Build and check with GitHub Actions.
Small description about repository: phptdlib is a PHP extension for the Telegram Database library, which allows to create Telegram clients. This is a CMake based C++ project with dependencies (tdlib/td, CopernicaMarketingSoftware/PHP-CPP and nlohmann/json), which produces a PHP extension.
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What libraries from other languages do you wish were ported over into go?
tdlib, but it's huge
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[Feature Request] Limit/disable/remove option to delete chats on both ends
I think taking advantage of https://github.com/tdlib/td (telegrams library) to build some backup mechanism around it would be the best way forward.
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It looks like Signal isn't as open source as you thought it was anymore
Telegram offers APIs and libraries that allow you to create clients for any platform [0].
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Install Telegram on Ubuntu 20.04 or Ubuntu-based distributions
I've been using it for more than 5 years and saw it evolving. The telegram is a cross-platform, open-source, and powerful messaging app developed by Pavel Durov, Nikolai Durov and Axel Neff . The repository for source code is available on GitHub.
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Here’s why you should leave WhatsApp for Signal, not Telegram
Database Library
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[Open Source] Signal becomes the top free app on App Store in India, and more countries
Telegram's encryption is literally open source, here's the files.
gonum
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How to set up interface to accept multi-dimension array?
But if you want to see what can be done for numeric stuff, check out gonum. Personally, I still wouldn't use Go, and I rather suspect it's still pretty easy to reach for something like what you're trying to do and not find it because Go just can't write that type sensibly, but you can at least see what is available, written by people who disagree with me about Go not being a great language for this.
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packages similar to Pandas
Numpy functionality is largely covered by https://www.gonum.org/ but for pandas I'm not sure if there is an equivalent as widely accepted. However, you might try https://github.com/rocketlaunchr/dataframe-go which I have not tried but it looks like it covers some of what you're looking for
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What libraries are missing?
Math libraries. It's just gonum right now. Missing things that often require people to link C or Python libs. E.g. https://github.com/gonum/gonum/issues/354
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SIMD Accelerated vector math
Maybe this way you could avoid having Mul, Mul_Inplace, Mul_Into variants. Gonum mostly follows the same pattern.
- Modern hardware is fast, so let's choose the slowest language to balance it out
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graph: A generic Go library for creating graph data structures and performing operations on them. It supports different kinds of graphs such as directed graphs, acyclic graphs, or trees.
How does this compare to gonum graph? https://github.com/gonum/gonum/tree/master/graph
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From Python to NumPy
Go is quite a bit cleaner than Python and its concurrency/parallelism primitives can be well suited to scientific workloads.
You may want to have a look at Gonum (https://www.gonum.org), and the Go HEP package developed by CERN (https://go-hep.org).
I was also surprised to see DSP and pretty sophisticated packages, although I never used them: https://awesome-go.com/science-and-data-analysis
And of course Go has Jupyter integration, it's almost like running a script thanks to its fast compilation time.
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Go for science?
You should check out this https://github.com/gonum/gonum
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What makes concurrency in Go better than multiprocesing/multithreading in Python?
No, using CPU extensions and GPUs is a different thing than doing multitasking. There is Gonum but it is still slower than Numpy: https://github.com/gonum/gonum/issues/511
- An update on polygo: a polynomial graphing tool
What are some alternatives?
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
gosl - Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
Stats - A well tested and comprehensive Golang statistics library package with no dependencies.
gonum/plot - A repository for plotting and visualizing data
PiHex - PiHex Library, written in Go, generates a hexadecimal number sequence in the number Pi in the range from 0 to 10,000,000.
goraph - Package goraph implements graph data structure and algorithms.
pandas - Flexible and powerful data analysis / manipulation library for Go+, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
gophernotes - The Go kernel for Jupyter notebooks and nteract.
AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
goqu - SQL builder and query library for golang
go.matrix - linear algebra for go
tg - telegram-cli