Knowledge Tree
Python
Facts (39)
Sources
bureado/awesome-software-supply-chain-security - GitHub github.com 10 facts
referenceProject Thoth uses Artificial Intelligence to analyze and recommend software stacks for Python applications.
referencegoogle/oss-rebuild automates reproducible building and generates SLSA Provenance for Python, JavaScript/TypeScript, and Rust packages to detect supply chain compromises, featuring build observability, dynamic analysis, and support for historical package attestation.
claimThe sonatype-nexus-community/jake tool checks Python environments and dependencies for known vulnerabilities using Sonatype OSS Index.
referenceThe avilum/secimport tool provides eBPF-based module-level sandboxing for Python applications by enforcing syscall restrictions per Python module to mitigate risks from vulnerable or malicious dependencies.
claimThe illikainen/ossaudit tool audits Python packages for known vulnerabilities using Sonatype OSS Index.
referenceThe SAP-samples/risk-explorer-execution-pocs repository provides runnable proof-of-concept implementations that demonstrate how third-party dependencies can achieve arbitrary code execution at both install time and runtime across multiple ecosystems, including Python, JavaScript, Ruby, PHP, Rust, Go, and Java.
referenceHuskyCI, developed by Globo.com, orchestrates security tests and centralizes results for analysis across multiple programming languages including Python, Ruby, JavaScript, Go, Java, and HCL, utilizing SAST tools, GitLeaks for secrets scanning, and SCA tools.
claimDataDog/supply-chain-firewall is a Python tool designed to prevent the installation of malicious and vulnerable PyPI and npm packages, thereby protecting developer workstations from supply chain attacks.
referenceThe trailofbits/pip-audit tool audits Python environments and dependency trees for known vulnerabilities.
referenceknostic/OpenAnt is an LLM-based vulnerability discovery tool that proactively identifies verified security flaws while minimizing false positives and negatives, supporting Go, Python, JavaScript/TypeScript, C/C++, PHP, and Ruby.
Adversarial testing of global neuronal workspace and ... - Nature nature.com Apr 30, 2025 8 facts
procedurefMRI source DICOM data were converted to BIDS format using BIDScoin (v3.6.3), which includes converting DICOM data to NIfTI using dcm2niix and creating event files using custom Python codes.
referenceThe paper 'Pingouin: statistics in Python' by Vallat, R. was published in the Journal of Open Source Software in 2018 (DOI: 10.21105/joss.01026).
referenceThe paper 'Frites: a Python package for functional connectivity analysis and group-level statistics of neurophysiological data' by Combrisson, E., Basanisi, R., Cordeiro, V. L., Ince, R. A. A., and Brovelli, A. was published in the Journal of Open Source Software, volume 7, 3842, in 2022.
procedureResearchers investigated dynamic functional connectivity using the Gaussian copula mutual information approach, implemented via the 'conn_dfc' method from the Frites Python package, using a multitaper-based method for power estimation (frequency-dependent dynamic sliding window: 2–30 Hz, T = 4 cycles; 30–100 Hz, T4/f using a 0.25-s sliding window).
referenceNipype is a flexible, lightweight, and extensible framework for neuroimaging data processing written in Python.
referencePandas provides data structures for statistical computing in the Python programming language.
procedureThe researchers performed analysis-specific fMRI data preprocessing using FSL 6.0.2, SPM 12, and custom Python scripts (NiBabel 3.2.2 and SciPy 1.8.0). For univariate analyses, functional data were spatially smoothed with a Gaussian kernel (5 mm full-width at half-maximum), grand mean scaled, and temporal high-pass filtered (128 s), while multivariate analyses were performed without spatial smoothing.
referenceSciPy is a library containing fundamental algorithms for scientific computing in Python.
Patterns in the Transition From Founder-Leadership to Community ... arxiv.org Feb 5, 2026 4 facts
referencePython Enhancement Proposal 8010 (PEP 8010) outlines the technical leader governance model for the Python programming language, specifically addressing the governance transition following the retirement of Guido van Rossum.
claimThe Python programming language underwent a governance transition process, which is covered in the article 'Python gets a new governance model'.
procedureThe Python programming language community utilized its existing Python Enhancement Proposal (PEP) system to solicit and evaluate governance proposals during its transition process.
accountThe Python programming language developers implemented an elected board structure for governance after decades of operating under a single-leader model, drawing inspiration from the Django web framework's transition.
Open Source Boosts Innovation in Software, Hardware and Beyond rdworldonline.com Mar 2, 2017 2 facts
accountDr. Sandeep Nagar is an Assistant Professor at GD Goenka University in India who holds a Ph.D. in material science from KTH Royal Institute of Technology in Sweden and has authored four books on Python, Octave, SCILAB, and MATLAB.
claimOpen-source programming languages such as Python, R, and Julia have achieved success because developers can customize them to meet community needs quickly.
What is Open Source Software? - HotWax Systems hotwaxsystems.com Aug 11, 2025 2 facts
claimWell-known examples of open source software include Linux (operating systems), Apache and NGINX (web servers), PostgreSQL and MySQL (databases), Mozilla Firefox (web browser), Kubernetes and Docker (cloud-native platforms), Apache OFBiz (ERP framework), and Python, Rust, and Node.js (programming languages and runtimes).
claimOpen source software forms the backbone of global technology and innovation, including operating systems like Linux, programming languages like Python, web servers like Apache, database systems like PostgreSQL, platforms like Kubernetes, and AI frameworks like TensorFlow and PyTorch.
MedHallu - GitHub github.com 1 fact
codeThe MedHallu software stack requires Python 3.8+, PyTorch, Transformers, vLLM, and Sentence-Transformers.
Grounding LLM Reasoning with Knowledge Graphs - arXiv arxiv.org Dec 4, 2025 1 fact
claimThe experiments in 'Grounding LLM Reasoning with Knowledge Graphs' were conducted using NVIDIA TITAN RTX or NVIDIA A100 GPUs, Python 3.8, and the vLLM library for model deployment.
10 RAG examples and use cases from real companies - Evidently AI evidentlyai.com Feb 13, 2025 1 fact
referenceGrab's Report Summarizer integrates two in-house platforms: Data-Arks, a Python-based API platform housing frequently used SQL queries and Python functions, and Spellvault, an internal platform for storing, sharing, and refining LLM prompts.
Bridging the Gap Between LLMs and Evolving Medical Knowledge arxiv.org Jun 29, 2025 1 fact
claimThe ingestion and query process is implemented in Python, utilizing sentence-transformers for embeddings and Chroma for vector storage.
What is OSS? - CircleCI circleci.com Jun 10, 2024 1 fact
claimWell-known examples of open source software include GNU/Linux, Firefox (provided by the Mozilla Foundation), GIMP, jQuery, Java, Python, Git, PyTorch, and WordPress.
Medical Hallucination in Foundation Models and Their ... medrxiv.org Mar 3, 2025 1 fact
procedureThe authors used the open-source Python package pdfminer to extract text from the collected PDFs, noting that the tool excels at text extraction from digital PDFs.
Detect hallucinations for RAG-based systems - AWS aws.amazon.com May 16, 2025 1 fact
codeThe similarity_detector function in Python calculates semantic similarity between a RAG context and an LLM answer using BedrockEmbeddings and cosine similarity, returning a float score representing the difference between the two embeddings.
def similarity_detector(
context: str,
answer: str,
llm: BedrockEmbeddings,
) -> float:
if len(context) == 0 or len(answer) == 0:
return 0.0
# calculate embeddings
context_emb = llm.embed_query(context)
answer_emb = llm.embed_query(answer)
context_emb = np.array(context_emb).reshape(1, -1)
answer_emb = np.array(answer_emb).reshape(1, -1)
sim_score = cosine_similarity(context_emb, answer_emb)
return 1 - sim_score[0][0]
Neuro-symbolic AI - Wikipedia en.wikipedia.org 1 fact
referenceScallop is a language based on Datalog that supports differentiable logical and relational reasoning, and it can be integrated into Python and with a PyTorch learning module.
LLM Knowledge Graph: Merging AI with Structured Data - PuppyGraph puppygraph.com Feb 19, 2026 1 fact
procedureThe procedure to install the PuppyGraph RAG Chatbot is: 1) Clone the repository using 'git clone https://github.com/puppygraph/puppygraph-python.git'. 2) Navigate to the directory 'puppygraph-python/apps/chatbot'. 3) Create and activate a virtual environment using 'python -m venv venv' and 'source venv/bin/activate'. 4) Install dependencies using 'pip install -r requirements.txt'. 5) Copy the '.env.example' file to '.env'. 6) Edit the '.env' file to include the ANTHROPIC_API_KEY.
What Is Open Source Software? - IBM ibm.com 1 fact
quoteGuido van Rossum stated that he started working on the Python programming language because he had free time over the December holiday week in 1989.
What is Open Source Software (OSS)? - Harness harness.io Dec 17, 2025 1 fact
claimOpen Source Software is widely adopted across domains including operating systems (Linux), web browsers (Mozilla Firefox), office suites (LibreOffice), source code managers (Gitness, GitHub), and programming languages (Python, Ruby).
Why organisations must embrace the 'open source' paradigm blogs.lse.ac.uk Jan 5, 2024 1 fact
referenceTensorFlow is a Python library commonly used by developers implementing machine-learning algorithms.
A Synergistic Workspace for Human Consciousness Revealed by ... elifesciences.org 1 fact
codeMATLAB/Octave and Python code to compute measures of Integrated Information Decomposition of timeseries with the Gaussian MMI solver is available at https://github.com/Imperial-MIND-lab/integrated-info-decomp.