Component Translated Unfinished Unfinished words Unfinished characters Untranslated Checks Suggestions Comments
Software 0 0 0 0 2,890 0 0
Documentation 0 0 0 0 2,043 0 0
Documentation-1.2 GFDL-1.3 0 0 0 0 519 0 0
Documentation-1.4 GFDL-1.3 0 0 0 0 996 0 0
Documentation-1.6 GFDL-1.3 0 0 0 0 528 0 0
Glossary Glossary GPL-3.0 0 0 0 0 0 0 0
Siril-1.2 GPL-3.0 0 0 0 0 1,242 0 0
Siril-1.4 GPL-3.0 0 0 0 0 1,648 0 0

Overview

Project website siril.org
Language English
Language code en
Text direction Left to right
Number of speakers 1,728,900,209
3 hours ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 25,850 414,459 2,614,756
Translated 100% 25,850 100% 414,459 100% 2,614,756
Needs editing 0% 0 0% 0 0% 0
Read-only 100% 25,850 100% 414,459 100% 2,614,756
Failing checks 19% 4,933 10% 44,509 11% 301,977
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 0% 0 0% 0 0% 0
Last 12 months Previous

Activity in last 12 months

0 changes 0 changes 0 changes 0 changes 0 changes 0 changes 0 changes 0 changes 0 changes 18,236 changes 0 changes 102 changes 0 changes 1,056 changes 0 changes 326 changes 0 changes 224 changes 0 changes 6,584 changes 0 changes 129 changes 0 changes 398 changes
Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun

Quick numbers

414 k
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25,850
Hosted strings
100%
Translated
1
Contributors
and previous 30 days

Trends of last 30 days

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Source string added
Invalid payload for CMD_DRAW_POLYGON
2 weeks ago
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Wrong mouse mode
2 weeks ago
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Error deleting existing directory %s: %s
2 weeks ago
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Existing directory is not a valid git repository. Cleaning up...
2 weeks ago
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Error: internal RGB composition sequence does not exist
2 weeks ago
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Resource updated
The “po/siril-documentation.pot” file was changed. 2 weeks ago
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Yes, we know it's a shame. In fact we would have liked to use GTK as the toolkit for writing sirilpy scripts, but unfortunately the binary wheel has been broken on Windows for a long time and doesn't show any sign of being fixed. We can't release core functionality that doesn't work on one of the target OSes. And if we could add ``gi`` we would get tickets asking for ``pyqt``, and then other packages and before you know it Siril would be a multi-gigabyte download essentially the same size as an entire OS. So we have settled on TKinter. Yes, it's a bit plain but it's simple to use, it's supported everywhere and since it's a part of Python's standard library the risk of problems with it is very low.
2 weeks ago
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**Dependencies** Note that both torch and jax use GPU library pypi packages, so installation of them may pull in very large chains of dependencies - the full set of NVIDIA packages (CUDA, CuDNN etc.) is around 1GB. So when using these in scripts be sure to warn users that they may incur a large and potentially slow download on first use!
2 weeks ago
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**jax** - Not a dedicated ML framework as such but a means of offloading computation to the GPU. jax provides a mostly numpy-compatible module called jax.numpy which can greatly accelerate many mathematical array processing operations by offloading them to the GPU and also provides functions for gradient computation that numpy does not. Bearing in mind that the slow part of GPU processing is the data transfer between system memory and GPU memory, jax provides a jit compiler to precompile its offloaded workloads but it still requires careful algorithm design to keep data on the GPU for as long as possible, only returning the final result. Jax has good GPU support on Linux but only CPU support on Apple and Windows, although experimental Metal support and Windows GPU support is in progress. This is therefore not recommended for actual scripts at present, but is highlighted as an interesting framework to develop against in the (hopefully) near future when its support broadens. A ``JaxHelper()`` class is under development that will help with selection of the correct jax package to install and testing to confirm it works properly.
2 weeks ago
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**torch** - This is a heavyweight among ML frameworks and where GPU support was once very much CUDA-based it is now broadening its coverage: suupport for NVidia and Apple Silicon GPUs is good, and support for AMD GPUs (using ROCm) and Intel GPUs is in development (ROCm is stable enough to use on Linux, not yet on Windows). Unfortunately torch has some dependency issues (it is excessively strict about the version of CuDNN it requires) which causes problems using it in the same venv as some other modules (including jax - see below) that pull in the nvidia-cudnn package. A ``TorchHelper()`` class is under development that will help with selection of the correct torch package to install and testing to confirm it works properly.
2 weeks ago
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