Search Results for "bingo python code"
Sort By:
Showing 28 open source projects for "bingo python code"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
-
1
Ollama
Run models like Kimi-K2.5, GLM-5, DeepSeek, gpt-oss, Gemma, Qwen etc.
Ollama is an open-source platform that enables developers to run large language models locally on their own machines. It simplifies working with modern AI models by providing a unified interface to download, manage, and interact with them. Users can run models like Llama, Gemma, Qwen, and others directly from the command line or through APIs. Ollama also integrates with popular developer tools and AI agents, allowing seamless workflows across coding environments and applications. It supports... -
2
WhatsApp MCP Server
WhatsApp MCP server enabling AI access to chats and messaging
whatsapp-mcp is an open source Model Context Protocol (MCP) server that enables AI agents to interact directly with a user’s WhatsApp account through a structured interface. It acts as a bridge between WhatsApp and large language models, allowing controlled access to messages, chats, and contacts. whatsapp-mcp is composed of two main components: a Go-based bridge that connects to the WhatsApp Web API and stores data locally, and a Python-based MCP server that exposes tools for AI... -
3
Sliver
Adversary Emulation Framework
Sliver is an open source cross-platform adversary emulation/red team framework, it can be used by organizations of all sizes to perform security testing. Sliver's implants support C2 over Mutual TLS (mTLS), WireGuard, HTTP(S), and DNS and are dynamically compiled with per-binary asymmetric encryption keys. The server and client support MacOS, Windows, and Linux. Implants are supported on MacOS, Windows, and Linux (and possibly every Golang compiler target but we've not tested them all). -
4
Chroma
A general purpose syntax highlighter in pure Go
As Chroma has just been released, its API is still in flux. That said, the high-level interface should not change significantly. Chroma takes source code and other structured text and converts it into syntax-highlighted HTML, ANSI-coloured text, etc. Chroma is based heavily on Pygments and includes translators for Pygments lexers and styles. ABAP, ABNF, ActionScript, ActionScript 3, Ada, Angular2, ANTLR, ApacheConf, APL, AppleScript, Arduino, Awk. PacmanConf, Perl, PHP, PHTML, Pig, PkgConfig, PL/pgSQL, plaintext, Pony, PostgreSQL SQL dialect, PostScript, POVRay, PowerShell, Prolog, PromQL, Properties, Protocol Buffer, PSL, Puppet, Python 2, Python. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
5
Microsandbox
Secure local-first microVM sandbox for running untrusted code fast
Microsandbox is an open source platform designed to securely execute untrusted code in isolated environments using lightweight virtualization techniques. It focuses on combining strong security guarantees with fast startup times by leveraging hardware-level microVM isolation instead of relying solely on traditional containers or full virtual machines. It aims to solve the common tradeoffs between speed, isolation, and control that developers encounter when running untrusted workloads. It... -
6
Dagger
Containerized automation engine for programmable CI/CD workflows
Dagger is an open source automation engine designed to build, test, and deliver software in a consistent and programmable way. It enables developers to define software delivery workflows using code instead of complex shell scripts or configuration files. Dagger executes tasks inside containers, ensuring that automation runs in identical environments across local machines, CI servers, or cloud infrastructure. Dagger provides a core execution engine and system API that orchestrates containers,... -
7
Fission
Fast and Simple Serverless Functions for Kubernetes
...Write short-lived functions in any language, and map them to HTTP requests (or other event triggers). Deploy functions instantly with one command. There are no containers to build, and no Docker registries to manage. Fission lets developers run code functions easily, while automating the menial work of configuring Kubernetes micro-services concepts behind the scenes. Just write your code functions and Fission will make it run on Kubernetes. Fission is open source under the Apache license. Fission works on a Kubernetes cluster anywhere: on your laptop, in any public cloud, or in a private data-center. ... -
8
OSV.dev
Open source vulnerability DB and triage service
osv.dev (Open Source Vulnerabilities) is Google’s open source platform and API for aggregating, managing, and analyzing vulnerability data across multiple ecosystems. It powers the osv.dev website, providing a unified, queryable database of vulnerabilities that map directly to open source packages and versions. The system hosts vulnerability data for ecosystems such as PyPI, npm, Go, Maven, and Debian, among others. The platform includes a web UI, API, and a Go-based dependency scanner... -
9
Klavis AI
MCP integration platforms for AI agents to use tools at any scale
Klavis AI is a Y Combinator X25-backed open-source infrastructure platform that enables AI agents to reliably connect with external tools and services at scale through Model Context Protocol (MCP). Founded by ex-Google DeepMind and ex-Lyft engineers, Klavis provides 50+ production-ready MCP servers with enterprise OAuth support for GitHub, Slack, Gmail, Salesforce, Linear, Notion, and more. The flagship product Strata solves tool overload through progressive discovery, achieving +13% higher... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
10
kpt
Automate Kubernetes Configuration Editing
kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data. Any general-purpose or domain-specific language can be used to create functions to transform and/or validate the YAML KRM input/output format, but we provide SDKs to simplify the function authoring... -
11
k3s in docker
Little helper to run CNCF's k3s in Docker
k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. k3d makes it very easy to create single- and multi-node k3s clusters in docker, e.g. for local development on Kubernetes. Note: k3d is a community-driven project but it’s not an official Rancher (SUSE) product. Sponsoring: To spend any significant amount of time improving k3d, we rely on sponsorships. k3d creates containerized k3s clusters. This means, that you can spin up a multi-node k3s... -
12
Hyperledger Fabric
Distributed ledger framework for developing solutions and applications
...Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy. High-performance, secure, permissioned blockchain network. Code written in Go, chaincode (smart contracts) in Go, Javascript, or Java, SDKs in Node.js, Java, Go, REST and Python. Hyperledger is a collaborative effort created to advance blockchain technology by identifying and addressing important features for a cross-industry open standard for distributed ledger technologies(DLTs) that will transform the way business transactions are conducted globally. ... -
13
Powerline Go
A beautiful and useful low-latency prompt for your shell
A Powerline-like prompt for Bash, ZSH, and Fish. All of the version control systems supported by powerline shell give you a quick look into the state of your repo. The current branch is displayed and changes background color when the branch is dirty. When the local branch differs from the remote, the difference in number of commits is shown along with ⇡ or ⇣ indicating whether a git push or pull is pending. powerline-go uses ANSI color codes, these should nowadays work everywhere, but you... -
14
Okteto
Develop your applications directly in your Kubernetes Cluster
...Today, most developers try to either run parts of the infrastructure locally or just test these integrations directly in the cluster via CI jobs, or the docker build/redeploy cycle. It works, but this workflow is painful and incredibly slow. Okteto accelerates the development workflow of Kubernetes applications. You write your code locally and okteto detects the changes and instantly updates your Kubernetes applications. Okteto allows you to develop inside a container. When you run out to up your Kubernetes deployment is replaced by a development container that contains your development tools (e.g. maven and jdk, or npm, python, go compiler, debuggers, etc). ... -
15
Qwen2.5-Coder
Qwen2.5-Coder is the code version of Qwen2.5, the large language model
Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. Qwen2.5-Coder, with its long context length of 128K tokens, is... -
16
virgosun teaching support
Mentor, code c, c++, java, go, php, swift, .. DevSecOps virtual lab, .
Menor, code c, c++, java, python, go, php, swift, .., DevSecOps virtual lab, .. This software is provided as a demonstration build. Redistribution of the binary is allowed for academic evaluation only. More previously completed projects will be released incrementally as executable packages are rebuilt for public distribution. www.youtube.com/embed/fzoISpZv5d0? -
17
Go support for Protocol Buffers
The Go support for Google's protocol buffers
Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data, think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. With our new proto3 language version, you can also work with Dart, Go, Ruby, and C#, with more languages to come. Package proto provides functions operating on protobuf messages such as cloning, merging, and checking equality, as well as binary serialization and text serialization. ... -
18
gopy
gopy generates a CPython extension module from a go package
This is an improved version that works with current versions of Go (e.g., 1.15 -- should work with any future version going forward), and uses unique int64 handles to interface with python, so that no pointers are interchanged, making everything safe for the more recent moving garbage collector. It also supports python modules having any number of Go packages, and generates a separate .py module file for each package, which link into a single common binding library. It has been tested extensively on reproducing complex Go code in large libraries -- most stuff "just works". ... -
19
aqueduct LLM
Aqueduct allows you to run LLM and ML workloads on any infrastructure
Aqueduct is an MLOps framework that allows you to define and deploy machine learning and LLM workloads on any cloud infrastructure. Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions. Aqueduct's Python native API allows you to define ML tasks in regular Python code. You can connect Aqueduct to your existing cloud infrastructure (docs), and Aqueduct will seamlessly move your code from your laptop to the cloud or between different cloud infrastructure layers. ... -
20
chatgpt-web
Privatized web program based on ChatGPT3.5 API
...Note that each parameter may affect you to get a different chat effect, and you may get another answer if you change a parameter, so please try to debug it yourself, and don't complain about the artificial mental retardation when you come up. There are more than 20 parameter examples in the document, such as AI chatbot, product name generation, python code fixer, etc. -
21
Horusec
Open source tool that improves identification of vulnerabilities
Horusec is an open source tool that performs a static code analysis to identify security flaws during the development process. Currently, the languages for analysis are C#, Java, Kotlin, Python, Ruby, Golang, Terraform, Javascript, Typescript, Kubernetes, PHP, C, HTML, JSON, Dart, Elixir, Shell, Nginx. The tool has options to search for key leaks and security flaws in all your project's files, as well as in Git history. -
22
Glazier
A tool for automating the installation of Windows OS
...It streamlines the entire Windows imaging process by booting systems into the Windows Preinstallation Environment (WinPE), retrieving installation instructions from a web server, and automatically applying operating systems, software, and configurations. The tool is fully text-based and code-driven, with configurations written in YAML, allowing teams to leverage source control for versioning, collaboration, and quality assurance. By distributing installation data via HTTPS, Glazier ensures scalability and flexibility, supporting both simple local servers and large-scale cloud-based deployments. Its extensibility makes it easy for administrators to create custom actions using Python or PowerShell, enabling tailored automation for diverse enterprise environments. ... -
23
commit-autosuggestions
A tool that AI automatically recommends commit messages
This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural... -
24
lgo
Interactive Go programming with Jupyter
lgo is an open-source programming environment that enables interactive Go programming within Jupyter Notebook environments. The project provides a Jupyter kernel for the Go programming language, allowing developers to write and execute Go code interactively in notebook cells similar to how Python is used in data science workflows. This environment combines the strong performance and concurrency features of the Go language with the exploratory and iterative style of notebook-based programming. Developers can execute code snippets, visualize results, and experiment with Go programs in a step-by-step manner without compiling full programs manually. ... -
25
virtualgo
Virtualgo: Easy and powerful workspace based development
...Virtualgo doesn't do dependency resolution or version pinning itself, because this is a hard problem that's already being solved by other tools. Its approach is to build on top of these tools, such as dep, to provide the features features listed above. For people coming from Python, vg is very similar to virtualenv, with dep being respective to pip. The main difference is that vg is much easier to use than virtualenv, because there's almost no mental overhead in using vg. You can pin versions of executable dependencies, such as linting and code generation tools. You can easily use a dependency from your global GOPATH inside your workspace, without running into confusing import errors. ...
