OrganizationOrange
@orange-opensource • Open Source by Orange. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
63%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
11 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (9), Unknown (6), Go (3)
Average size
2
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-10-15(10d ago)GitHub API fallback30 repositories
63%
of the visible star count comes from this organization's top three repositories.
2
stars per repository in this same snapshot.
Python
is the most common language here, with 11 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 30 repositories.
Balanced portfolio across 30 reposTop 3 share 63%
Organization pages work best when you separate portfolio breadth from flagship concentration. In Orange's case, the visible top three repositories account for about 63% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (9), Unknown (6), Go (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | orange-opensource/attentionless-streaming-asr Cntains a minimalist code to train and Speech-To-Text models in streaming. It is composed of a training script, configuration files (in hparams/ folder) and the architecture components implementation (in models/ folder | Python | 15 |
| 2 | orange-opensource/ns3-iboran An ns-3-based Open RAN simulation environment with native support for intent-based orchestration. | C++ | 13 |
| 3 | orange-opensource/wasmpulse Resource usage metrics for Server-side WebAssembly services, exposed in a Prometheus-compatible format | Go | 7 |
| 4 | orange-opensource/Ontology2Graph Ontology2Graph generates synthetic knowledge graphs using generative AI and graph fusion, taking an RDFS/OWL ontology as input. Typical applications include testing the robustness of AI pipelines, benchmarking databases, and ensuring the replicability of experiments without sharing sensitive data. | Python | 5 |
| 5 | orange-opensource/github-security-alerts Desktop application that monitors security vulnerabilities across your GitHub repositories in real-time. | TypeScript | 5 |
| 6 | orange-opensource/SSAD The Self-Supervised Anomaly Detection (ssad) library is a Python framework for self-supervised training of reconstruction-based autoencoder models for anomaly detection. | Python | 3 |
| 7 | orange-opensource/sstracking_metrics Evaluation metrics for Sound Source Tracking (SST) systems, and dataset processing tools for LibriJump, a dataset of intermittent and moving speakers. | Python | 2 |
| 8 | orange-opensource/Tripleflow TripleFlow is a web application that enables the semi-supervised population of enterprise knowledge graphs from unstructured documents. The web application allows users to call external knowledge extraction tools and to view and act on the generated knowledge | Vue | 1 |
| 9 | orange-opensource/Goodkit Framework d’introspection de Machine Virtuelles, se basant sur une colocation de VMM entre l’agent d’observation et la cible. | Rust | 1 |
| 10 | orange-opensource/provider-upjet-azure Azure Provider for Crossplane. | Go | 1 |
| 11 | orange-opensource/learning-parities-with-product-networks Source code to reproduce the results listed in “Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent”, accepted at ICML 2026. | Jupyter Notebook | 1 |
| 12 | orange-opensource/ParallelUD-AMR The Universal Dependencies PUD corpus also annotated in AMR | 1 | |
| 13 | orange-opensource/livenet-collections Bruno / Hurl / Postman collections for LiveNet | Bru | 1 |
| 14 | orange-opensource/ouds-web-skills Skills forAI agents to use OUDS Web design system | 0 | |
| 15 | orange-opensource/vulnerability-open-knowledge Vulnerability Open Knowledge is a database containing information to reproduce a vulnerability (CVE) in a Debian Docker environment. | Dockerfile | 0 |
| 16 | orange-opensource/ouds-ios-documentation Technical documentation (Swift DocC) of the OUDS iOS Swift Package | JavaScript | 0 |
| 17 | orange-opensource/fgdiffusion FGdiffusion, a method that combines a diffusion model with a flattened graph representation as input and employs ontology-based constraints at inference to generate large-scale, domain relevant knowledge graphs. | Jupyter Notebook | 0 |
| 18 | orange-opensource/evalllm2026-metric-correlation-analysis Ce projet contient le code Python et les données nécessaires à la reproduction des analyses de l'article "Evaluation de métriques de RAG dans un contexte applicatif : une expérience, ses conclusions et ses limites" (Q. Brabant, EvalLLM 2026). | Python | 0 |
| 19 | orange-opensource/symbal-latin The Symbal-Latin engine is a generic technology for symbol and graphic gesture recognition developed at Orange Labs. It is based on a detailed modeling of 2D gestures (letters, symbols, command gestures) using graphic primitives and employs an original probabilistic approach of causal generative type. | C++ | 0 |
| 20 | orange-opensource/mmd-scd MMD-based algorithms for sequential change detection | Python | 0 |
| 21 | orange-opensource/llm-acd-supplemental-material Code, prompts, config and logs associated with the research paper "A Systematic Evaluation of Large Language Models for Autonomous Cyber Defense" | Jupyter Notebook | 0 |
| 22 | orange-opensource/prezo TUI presentation tool | 0 | |
| 23 | orange-opensource/sens-asr Injecting semantic in Streaming Automatic Speech Recognition models | Python | 0 |
| 24 | orange-opensource/Wiki-AMR a synthetic dataset of high quality for Abstract Meaning Representation | 0 | |
| 25 | orange-opensource/external-dns Configure external DNS servers dynamically from Kubernetes resources | Go | 0 |
| 26 | orange-opensource/PoSum-Bench Benchmarking Position Bias in LLM-based Conversational Summarization | Python | 0 |
| 27 | orange-opensource/vck Kotlin Multiplatform library implementing W3C VC Data Model, SD-JWT and ISO 18013-5 credentials | Kotlin | 0 |
| 28 | orange-opensource/Knowledge-Editing This repository aims to provide the necessary tools to reproduce the results of studies concerning factual knowledge updating in LLMs. Those studies were conducted by Hichem Ammar Khodja during his PhD. | Python | 0 |
| 29 | orange-opensource/livenet-codesamples LiveNet code samples that are associated with blog articles, technical documentation or tutorials | 0 | |
| 30 | orange-opensource/livenet-codelabs-argentobank Code Lab for LiveNet | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
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