reapxdev/zenodo-scraper huggingface dataset:
astropy/pytest-remotedata: v0.4.2 Release Notes
Authors: Michael Droettboom, Thomas Robitaille, E. M. Bray, Dan D'Avella, Brigitta Sipőcz, P. L. Lim, Matt Davis, Erik Tollerud, Stuart Mumford, Simon Conseil, Adam Ginsburg, Marten van Kerkwijk, Joseph Booker, Michael Seifert, Christoph Deil, Clément Robert, Eero Vaher, Matteo Bachetti, Adrian Price-Whelan, Bruno Oliveira, Derek Homeier, Julien Woillez, Larry Bradley, Orion Poplawski, Prasanth, Pratik Patel, Todd, Tomáš Chvátal
Type: Software
Published: 2026-08-03

<h2>What's Changed</h2>
<p>See <code>CHANGES.rst</code></p>
<h2>New Contributors</h2>
<ul>
<li>@neutrinoceros made their first contribution in https://github.com/astropy/pytest-remotedata/pull/93</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/astropy/pytest-remotedata/compare/v0.4.1...v0.4.2</p>
MCP Data Server
Authors: Boettiger, Carl
Type: Software
Published: 2026-08-03
Keywords: Model Context Protocol, MCP, STAC, DuckDB, cloud-native, geospatial, H3, AI agents

An open Model Context Protocol (MCP) server that connects AI agents to cloud-native data. It grounds agents in STAC metadata and confines them to validated cloud-native engines — SQL over Parquet on S3 via DuckDB with H3 spatial indexing — so they can query terabyte-scale data without downloading it, misreading it, or silently failing at scale. Runs locally for sensitive data or on autoscaling Kubernetes for scale.
QIICR/dcmqi: Latest (updated on 2026-08-03 19:57 UTC)
Authors: Andrey Fedorov, Christian Herz, Jean-Christophe Fillion-Robin, Michael Onken, Marco Nolden, David Clunie, Andras Lasso, Shreeraj Jadhav, Matt McCormick, Max Smolens, Steve Pieper, rfloca, Paul Wighton, Ilya Finkelshteyn, Stefan Dinkelacker, The Gitter Badger, Vamsi Thiriveedhi
Type: Software
Published: 2026-08-03

<p>Continuous build from commit <code>cc0702f</code> on 2026-08-03 19:57 UTC.</p>
NCAR/VAPOR: Weekly
Authors: Scott Pearse, StasJ, Samuel Li, clyne, Ian Franda, Nihanth Wagmi Cherukuru, CoreCode, Giovanni Rosa, Joel Daves, Kevin Hallock, Orhan Eroglu, Orion Poplawski, Rémi Lacroix
Type: Software
Published: 2026-08-03

<p>Weekly installers are untested an may not be stable.  Built with commit 9250664aec645aadab5b5cc29fdbf670a7d4f080 on 03_08_26 (DD-MM-YY)</p>
Snapshot of contributions from the DeepIsaHOL project
Authors: Huerta y Munive, Jonathan Julian
Type: Software
Published: 2026-07-03
Keywords: theorem proving, Isabelle, transformers

<div>
<div>This is a (2026-07-04) snapshot of the repository with contributions from the DeepIsaHOL project. This snapshot includes:</div>
<div>1. Sources for retrieving proof data from Isabelle libraries</div>
<div>2. Sources for the read-eval-print-loop interfaces for Isabelle in Scala and Python</div>
<div>3. Python training loops for Hugging Face T5 models and Unsloth Gemma 3n models</div>
<div>4. Python sources for evaluating the trained models</div>
<div>5. Examples of the generated data as JSON files</div>
<div>6. Log files of the training and evaluation loops</div>
<div>7. The model weights for all trained models<br><br>
<p>Assembling the 2026 DeepIsaHOL artefact from its split parts<br>===========================================================</p>
<p>This Zenodo upload contains the 2026 DeepIsaHOL artefact as a split tar.gz<br>archive. The reassembled archive is 39,566,517,245 bytes (approximately<br>37 GiB). It is uploaded as 76 parts of at most 500 MiB so that the complete<br>upload, including this guide and the checksum manifest, remains below Zenodo's<br>100-file limit.</p>
<p>Allow approximately 40 GB of free space to reassemble the archive and a<br>further 54 GB to extract it.</p>
<p>1. Download ASSEMBLE.txt, PARTS.sha256, and every file named<br>       2026_artefact.tar.gz.part-aa ... 2026_artefact.tar.gz.part-cx<br>   into one directory.</p>
<p>2. Verify every downloaded part:</p>
<p>       shasum -a 256 -c PARTS.sha256      # macOS<br>       sha256sum -c PARTS.sha256          # Linux</p>
<p>   Every part must report OK.</p>
<p>3. Reassemble the tar.gz archive. The shell glob restores the aa, ab, ...<br>   order:</p>
<p>       cat 2026_artefact.tar.gz.part-* > 2026_artefact.tar.gz</p>
<p>   The reassembled archive must have this SHA-256:</p>
<p>       8e675fae1d53e226344f58ff4aac0beaa9d312b9f425d2a396905e550655d30c  2026_artefact.tar.gz</p>
<p>   Check it with:</p>
<p>       shasum -a 256 2026_artefact.tar.gz     # macOS<br>       sha256sum 2026_artefact.tar.gz         # Linux</p>
<p>4. Check and extract the payload:</p>
<p>       tar -tzf 2026_artefact.tar.gz > /dev/null<br>       tar -xzf 2026_artefact.tar.gz</p>
<p>5. Follow README.md in the extracted 2026_artefact directory for installation,<br>   data extraction and interaction, model training/evaluation, and the paper<br>   reproduction scripts under all_data/00reproduce_paper/.</p>
</div>
</div>
pyiron/semantikon: semantikon-1.4.1
Authors: Osamu Waseda, Liam Huber, pyiron, Jan Janssen, Marian Bruns
Type: Software
Published: 2026-08-03

<h2>What's Changed</h2>
<ul>
<li>Handle functionless workflows by @liamhuber in https://github.com/pyiron/semantikon/pull/499</li>
<li>fix ruff problems by @samwaseda in https://github.com/pyiron/semantikon/pull/501</li>
<li>Test with numpy version 1.26.3 by @jan-janssen in https://github.com/pyiron/semantikon/pull/500</li>
<li>build(dep): update qudt version by @samwaseda in https://github.com/pyiron/semantikon/pull/505</li>
<li>fix: use default if value is not available in the hashing algorithm by @samwaseda in https://github.com/pyiron/semantikon/pull/506</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/pyiron/semantikon/compare/semantikon-1.4.0...semantikon-1.4.1</p>
OstapHEP/ostap: v3.8.0.0.
Authors: VanyaBelyaev, TatianaOvsiannikova, Alexander Mazurov, Eduardo Rodrigues, Pro100Tema, Katrin Leinweber, Simon Waldherr, The Gitter Badger
Type: Software
Published: 2026-08-03

<h1>v3.8.0.0</h1>
<h2>New features</h2>
<ol>
<li>make a try to use custom cpp-aware pickling the cpp-metatypes by name wthni direct reference to the libraries</li>
<li>make a try to use custom cross-version unpickling withon-flith substituton of <code>libROOTTPytho*</code></li>
<li>small improvement for <code>RooFitResult</code> serialization</li>
<li>remove unpicklnig from <code>compress_shelbve.uncompress_item</code> and call it explicitely afterward</li>
<li>add <code>pickle_dependencies</code> funtion to get the importan content of pickel stream (foe debugging)</li>
<li>add <code>dependencies</code> method for <code>ostap.io.compressed_shelve.CompressShelf</code> base class</li>
<li>add <code>__get_raw_bytes__</code> method for <code>ostap.io.compressed_shelve.CompressShelf</code> base class</li>
<li>move some functions from <code>ostap.utils.basic</code> to new module <code>sstap.utils.core</code></li>
<li>fix uncompression of <code>Ostap.BLOB</code> for python<3.12</li>
<li>larger unification of parallel managers</li>
<li>add uniform treatment of <code>chunksize</code> & <code>block_size</code> for parallel managers</li>
<li>add <code>hyper_block_size</code> for the parallel managers</li>
<li>add <code>ordered=False</code> argument to <code>iexecute</code> method for all parallel managers</li>
<li>add unordering processing for the parallel manager based on <code>concurent.future</code></li>
<li>add parallel manager based in <code>concurrent.futures.InterpreterPoolExecutor</code> (for 3.14<=python)</li>
<li>add <code>implicitMT</code> property for tasks, allowing enable or disable ImpliciMT treatment ROOT</li>
<li>tweaks for <code>ostap.utils.utils.ImplicitMT</code></li>
<li>small adjustment for <code>RunningBar</code></li>
</ol>
<h2>Bug fixes</h2>
<h2>Backward incompatible</h2>
<ol>
<li>remove <code>loop_items</code> and <code>items_loop</code></li>
</ol>
pySTEPS/pysteps: pysteps v1.21.3
Authors: Daniele Nerini, Seppo Pulkkinen, Andres Perez Hortal, Carlos Velasco, Ruben Imhoff, Loris Foresti, Seppo Pulkkinen, mats-knmi, Lesley De Cruz, Simon De Kock, Joep1999, Monika Feldmann, m-rempel, Michiel Van Ginderachter, Jenna Ritvanen, EsmailGhaemi, ccardinali, Petteri Karsisto, Lars Bonnefoy, Daan Buekenhout, vklaus, pierrejavelle, joeycasey87, gjm174, dominique-brunet-eccc, Alberto Carpentieri, aitaten, Yang, Viktor VN, Simon Beylat
Type: Software
Published: 2026-08-03

<h2>What's Changed</h2>
<ul>
<li>fix: extend knmi importer with support for other projections by @mats-knmi in https://github.com/pySTEPS/pysteps/pull/562</li>
<li>Bump version by @mats-knmi in https://github.com/pySTEPS/pysteps/pull/565</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/pySTEPS/pysteps/compare/v1.21.2...v1.21.3</p>
astropy/astropy-iers-data: v0.2026.8.3.0.53.6
Authors: Thomas Robitaille, P. L. Lim, Clément Robert, Saurav Maheshkar, Marten van Kerkwijk, Nathaniel Starkman, Sergio Pascual
Type: Software
Published: 2026-08-03

<h2>What's Changed</h2>
<ul>
<li>Bump the actions group in /.github/workflows with 4 updates by @dependabot[bot] in https://github.com/astropy/astropy-iers-data/pull/76</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/astropy/astropy-iers-data/compare/v0.2026.7.27.0.56.29...v0.2026.8.3.0.53.6</p>
nolan (hyperjet): const-generic forward-mode automatic differentiation
Authors: Moeyens, Joachim
Type: Software
Published: 2026-08-03
Keywords: automatic differentiation, hyperdual numbers, forward mode, jets, Rust, numerical methods, sensitivity analysis

<h2>What's Changed</h2>
<ul>
<li>Stop dispatching the validation suite on release tags by @moeyensj in https://github.com/Empyrean-Dynamics/nolan/pull/29</li>
<li>Square-root LM: factor the system, never form JtJ; exact second-order model; acceleration on the factored path by @moeyensj in https://github.com/Empyrean-Dynamics/nolan/pull/30</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/Empyrean-Dynamics/nolan/compare/v1.11.0...v1.12.0</p>