Search Results for "future" - Page 9
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Showing 2570 open source projects for "future"
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jsdoc-to-markdown
Generate markdown documentation from jsdoc-annotated javascript
...By default, the output of each invocation of the main generation methods (render, getTemplateData etc) is stored in the cache (your system's temporary directory). Future jsdoc2md invocations with the same input options and source code will return the output immediately from cache, making the tool much faster/cheaper. If the input options or source code changes, fresh output will be generated. -
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formidable
The most used, flexible, fast and streaming parser
...The maintainers of formidable and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the Open Source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. Of course, with Koa v1, v2 or future v3 the things are very similar. You can use formidable manually as or through the koa-better-body package which is using formidable under the hood and support more features and different request bodies, check its documentation for more info. -
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Serverless Offline
Emulate AWS λ and API Gateway locally
...Once you run a function that boots up the Docker container, it'll look through the layers for that function, download them in order to your layers folder, and save a hash of your layers so it can be re-used in future. -
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Google Spreadsheets Python
Google Sheets Python API
...If you’re still using oauth2client credentials, the library will convert these to google-auth for you, but you can change your code to use the new credentials to make sure nothing breaks in the future. If you familiar with the Jupyter Notebook, Google Colaboratory is probably the easiest way to get started using gspread. -
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Optopsy
A nimble options backtesting library for Python
...The csv_data() function is a convenience function. Under the hood it uses Panda's read_csv() function to do the import. There are other parameters that can help with loading the csv data, consult the code/future documentation to see how to use them. Optopsy is a small simple library that offloads the heavy work of backtesting option strategies, the API is designed to be simple and easy to implement into your regular Panda's data analysis workflow. As such, we just need to call the long_calls() function to have Optopsy generate all combinations of a simple long call strategy for the specified time period and return a DataFrame. ... -
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CloudWeGo-Kitex
Go RPC framework with high-performance and strong-extensibility
...Fully open source, community neutral, compatible with the community open source ecology, pluggable components, CloudWeGo components and other open source components can be integrated or replaced with each other. Contains the components needed to build an enterprise-class cloud-native architecture, allowing users to focus more on business development, meet the current and future needs of user scenarios, and experience the refinement of large-scale scenarios. Quickly build a cloud-native microservice system and develop more reliable, scalable and easy-to-maintain cloud-native applications. -
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vcr
Record your test suite's HTTP interactions and replay them
Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests. We're looking for more maintainers. If you'd like to help maintain a well-used gem please spend some time reviewing pull requests, issues, or participating in discussions. VCR will replay the response from iana.org when the HTTP request is made. This test is now fast (no real HTTP requests are made anymore), deterministic (the test will continue to pass, even if you are offline, or iana.org goes down for maintenance) and accurate (the response will contain the same headers and body you get from a real request). ... -
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OpenSRE
Build your own AI SRE agents. The open source toolkit for the AI era
...Its multi-agent architecture allows parallel reasoning across systems, mimicking how experienced SRE teams debug complex issues. The platform also incorporates memory and knowledge graph capabilities to learn from past incidents and improve future investigations. It is designed to run locally within an organization’s infrastructure, ensuring data privacy and compliance. -
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Pro Workflow
Claude Code learns from your corrections: self-correcting memory
...The framework includes a collection of prebuilt skills and workflows that have been tested in real-world scenarios, providing a strong starting point for developers. It emphasizes continuous improvement, where each interaction contributes to better performance in future tasks. The system also integrates agent teams, allowing complex workflows to be distributed across specialized components. Overall, Pro-workflow transforms AI-assisted coding into an adaptive and evolving process that improves with use. -
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next-view-transitions
Use CSS View Transitions API in Next.js App Router
...The library also provides a custom Link component and hooks that integrate seamlessly with Next.js routing APIs. It is designed for simplicity, targeting common use cases while leaving room for more advanced features to be implemented in the future. The project highlights how modern browser capabilities can be leveraged to create polished user experiences with minimal effort. It is particularly useful for improving perceived performance and visual continuity in web applications. Overall, next-view-transitions offers an accessible way to implement modern page transitions in Next.js projects. -
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Khazix Skills
Digital Life Kazik Open Source AI Skills Collection
...It acts as a pipeline that analyzes a repository’s metadata, extracts relevant information such as README content and commit hashes, and converts it into a standardized skill format that can be integrated into agent ecosystems. The system emphasizes lifecycle management by embedding versioning, traceability, and metadata directly into generated skill files, allowing future updates and synchronization with the original repository. It also generates wrapper scripts that enable AI agents to interact with the underlying repository functionality without requiring deep manual integration. By enforcing a consistent schema, the project ensures interoperability between skills and simplifies deployment across environments. ... -
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Diffusion for World Modeling
Learning agent trained in a diffusion world model
Diffusion for World Modeling is an experimental reinforcement learning system that trains intelligent agents inside a simulated environment generated by a diffusion-based world model. The project introduces the idea of using diffusion models, commonly used for image generation, to simulate the dynamics of an environment and predict future states based on previous observations and actions. Instead of interacting directly with a real environment, the reinforcement learning agent learns within a generative model that produces frames representing the environment. This approach allows training to occur in a simulated world that captures detailed visual dynamics while reducing the need for costly interactions with real environments. ... -
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MLE-bench
AI multi-agent framework for automating data-driven R&D workflows
...RD-Agent focuses heavily on automating complex tasks such as feature engineering, model design, and experimentation, which are traditionally time-consuming in machine learning and quantitative research workflows. RD-Agent can analyze data, generate experimental code, run evaluations, and learn from outcomes to improve future iterations. -
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kimuraframework
AI-first Ruby framework for building fast, flexible web scraping spide
...It provides a clean domain-specific language that allows developers to define scraping logic and data schemas with minimal boilerplate code. Kimurai can use AI-assisted extraction to identify where data resides in HTML pages, automatically generating selectors that are cached for future use so subsequent scraping runs operate with pure Ruby performance. Kimurai supports scraping both static and JavaScript-rendered websites by working with multiple engines, including headless browsers and simple HTTP-based approaches. Developers can also interact with pages using browser automation features such as form filling, clicking elements, or navigating through dynamic content. ... -
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MiroFlow
Agent framework that enables tool-use agent tasks
...One of the core innovations of MiroFlow is its use of agent graphs, which enable flexible orchestration of multiple sub-agents and tools in order to complete complex workflows. This architecture allows agents to perform advanced reasoning tasks such as deep research, future event prediction, and multi-step knowledge analysis. The framework emphasizes reliability and scalability by incorporating robust workflow execution, concurrency management, and fault-tolerant design to handle unstable APIs or network conditions. -
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Agentic Context Engine
Make your agents learn from experience
...The system treats context as a dynamic “playbook” that evolves over time through a process of generation, reflection, and curation, enabling agents to refine strategies across repeated tasks. In this workflow, one component generates solutions, another reflects on outcomes, and a third curates useful knowledge so it can be reused in future interactions. This architecture allows agents to gradually build persistent operational memory without requiring additional training datasets or model retraining. -
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Cradle framework
The Cradle framework is a first attempt at General Computer Control
...Cradle agents are capable of performing tasks across a wide variety of environments, including computer applications and video games, demonstrating the generality of the approach. The architecture includes modules that allow agents to observe their environment, reflect on past actions, plan future steps, and accumulate useful skills for later tasks. -
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Interface Design
Design engineering for Claude Code
Interface Design is a Claude Code plugin and design-engineering toolkit that helps developers and designers retain consistent UI design decisions across sessions by codifying design principles and remembering them for future use. It’s built around the idea that when building UI (dashboards, apps, admin panels), design decisions like spacing, colors, depth, and component patterns can drift over time, so Interface-Design captures and stores those decisions in a system MD file that’s loaded automatically each session. The plugin prompts users to confirm a design direction early in the process and then applies those principles consistently — from button sizes to spacing scales and color tokens — so work stays aligned with the established system. ... -
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mlr3
mlr3: Machine Learning in R - next generation
mlr3 is a modern, object-oriented R framework for machine learning. It provides core abstractions (tasks, learners, resamplings, measures, pipelines) implemented using R6 classes, enabling extensible, composable machine learning workflows. It focuses on clean design, scalability (large datasets), and integration into the wider R ecosystem via extension packages. Users can do classification, regression, survival analysis, clustering, hyperparameter tuning, benchmarking etc., often via... -
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Ancient Beast
The Turn Based Strategy Game/eSport. Master your beasts
Ancient Beast is a turn-based strategy indie game project played online against other people featuring a wide variety of creatures to acquire, putting them to use in order to defeat your opponents. This project was carefully designed to be easy to learn, fun to play and hard to master. We hope you'll enjoy it. The game takes place in a dystopian future, where people have excelled in power thanks to the use of technology, specifically advanced 3d printers. The world is split into 7 factions, based off the seven deadly sins (Avarice, Envy, Gluttony, Lust, Pride, Sloth, Wrath), fighting each other for resources, land, and supremacy. The game is designed to be lightweight and run on most devices out there as it adjusts on the fly thanks to various optimizations and it will be playable using pretty much any input method you can think of. ... -
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Routr
The future of programmable SIP servers
Lightweight sip proxy, location server, and registrar that provides a reliable and scalable SIP infrastructure for telephony carriers, communication service providers, and integrators. Routr provides all the tools required to deploy your VoIP network, including a command-line for remote server control. It can also be controlled via a RESTful API or a web-based GUI. Routr includes all tools for deploying your VoIP network. It offers remote server control via command-line, RESTful API, or a... -
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BFE
A modern layer 7 load balancer from baidu
...BFE is designed to provide every tenant a dedicated share of the instance. Each tenant’s configuration is isolated and remains invisible to other tenants. BFE supports HTTP, HTTPS, SPDY, HTTP2, gRPC, WebSocket, TLS, FastCGI, etc. Future support is planned for HTTP/3. BFE provides an advanced domain-specific language to describe routing rules which are easy to understand and maintain. BFE supports global load balancing and distributed load balancing for zone aware balancing, zone level failure resilience, overload protection etc. BFE provides a rich set of plugins for traffic management, security, observability, etc. ... -
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Feast
Feature Store for Machine Learning
...Avoid data leakage by generating point-in-time correct feature sets so data scientists can focus on feature engineering rather than debugging error-prone dataset joining logic. This ensure that future feature values do not leak to models during training. Decouple ML from data infrastructure by providing a single data access layer that abstracts feature storage from feature retrieval, ensuring models remain portable as you move from training models to serving models, from batch model -
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Oruga UI
Oruga is a lightweight library of UI components without CSS framework
...Oruga doesn't depend on any specific style or CSS framework (like Bootstrap, Bulma, TailwindCSS etc...) and it doesn't provide any grid system or CSS utility, it just offer a set of components easy to customize. Oruga wants you to focus only on UI/UX aspects of your application and be totally flexible to future changes without having to touch a line of JavaScript. -
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Simorgh
The BBC's Open Source Single Page Application
...We support a wide range of devices and care deeply about scale, performance, and accessibility. We work in agile, flexible teams, and have an exciting roadmap for future development.
