Id | Nom | Description | Site Web | Licence | Propriétaire | Obtenu le | Niveau % | Badge |
---|---|---|---|---|---|---|---|---|
10877 | Portfolio- |
for starter can look code and contribute on this project .This project are basically give idea how to you can improve digen . |
https://github. |
DIGPAL SINGH UMATH | 10% | |||
10878 | kyverno- |
MCP server for Kyverno |
https://nirmata. |
AGPL-3.0 | Shreyas Mocherla | 18% | ||
10880 | winsw | A wrapper executable that can run any executable as a Windows service, in a permissive license. |
https://github. |
MIT | zhangzhen0214 | 16% | ||
10881 | terraform- |
Terraform module for Observability components on AWS |
https://github. |
Apache-2.0 | Nicolas Lamirault | 19% | ||
10882 | terraform- |
Terraform module for Observability components on Google Cloud Platform |
https://github. |
Apache-2.0 | Nicolas Lamirault | 19% | ||
10883 | terraform- |
Terraform module for Billing components on AWS |
https://github. |
OTHER | Nicolas Lamirault | 16% | ||
10884 | tokenetes | Tokenetes implements a new IETF OAuth WG draft called "Transaction Tokens" (TraTs). TraTs are short-lived signed JWTs that provide immutable identity and... |
https://tokenetes. |
Apache-2.0 | Atul Tulshibagwale | 19% | ||
10885 | MCJE- |
Survival-friendly questing by the players for the players! |
https://github. |
GPL-3.0 | sammypanda | 34% | ||
10887 | GeoSFAIR- |
GeoSFAIR Tool is GeoSciences' FAIR product evaluation tool for GeoSpatial FAIRness. It is a modular tool for evaluating five different products: Metadata,... |
https://hub. |
GPL-3.0-or-later | Cipolloni Carlo | 87% | ||
10888 | SafeQure |
https://github. |
Loïc | 10% | ||||
10889 | hrequire |
https://github. |
MIT | Thanarak Leenanon | 79% | |||
10893 | esphome- |
Waveshare E-Ink display based ESPHome Dashboard |
https://github. |
ziermmar | 10% | |||
10894 | forge | ForgeMT is a secure, scalable GitHub Actions runner platform for ephemeral workloads. Designed for multi-tenant environments, it automates isolated runner... |
Apache-2.0 | Ederson Brilhante | 16% | |||
10895 | chain- |
Crypto.org Chain⛓: Croeseid Testnet and beyond development |
https://crypto. |
OTHER | esavaris75 | 19% | ||
10896 | REDME |
https://github. |
Faker005 | 10% | ||||
10897 | Jojad9 | Config files for my GitHub profile. |
https://github. |
Jojad9 | 10% | |||
10902 | commonz |
https://github. |
MIT | Steve Falken | 15% | |||
10903 | TechnicalApporach. |
https://github. |
GPL-3.0 | David Pham | 15% | |||
10904 | token- |
FoundryVTT Token Action HUD for Savage Worlds |
https://github. |
MIT | Marcos | 16% | ||
10905 | Terraform module for scalable GitHub action runners on AWS | This Terraform module creates the required infrastructure needed to host GitHub Actions self-hosted, auto-scaling runners on AWS spot instances. It provides... |
https://github- |
MIT | Niek Palm | 96% | ||
10907 | chroma | the AI-native open-source embedding database |
https://www. |
Apache-2.0 | Mykyta Mudryi | 15% | ||
10908 | jetton- |
Reference implementation of Jetton (fungible token) smart contract for TON |
https://github. |
Re2906 | 21% | |||
10909 | adx- |
ADX-Mon - Azure Data Explorer based observability platform |
https://github. |
MIT | matucker-msft | 19% | ||
10910 | uhecluster | Direction-Time Clustering Algorithms to detect Ultra High Energy Cosmic Ray (UHECR) Photons |
https://gitlab. |
BSD-3-Clause | Chaitanya Priyadarshi | 49% | ||
10911 | Portfolio |
https://wtfashwin. |
Ashwin Upadhyay | 3% | ||||
10912 | fraud- |
This project implements a machine learning pipeline to detect fraudulent credit card transactions. It uses logistic regression on a highly imbalanced... |
https://github. |
Ashwin Upadhyay | 84% | |||
10914 | kpm | A fast, declarative, and extensible package manager for Kotlin. |
https://github. |
Apache-2.0 | Lucas Heintzmann | 15% | ||
10915 | bas_ |
Use cases implementations using the BAS gem bots. |
https://github. |
MIT | JuanHiginio | 18% | ||
10916 | 1838 |
http://github. |
Vladislav Polyakov | 1% | ||||
10917 | ydb- |
Vladislav Polyakov | 3% |
Le « Niveau % » utilise 300% pour gold, 200% pour silver et 100% pour atteint, et montre le progrès au-delà du badge de plus haut niveau obtenu. Vous pouvez également trier par les critères suivants : URL du dépôt, date de création (pour la soumission), dernière date de mise à jour (pour la soumission) et id utilisateur