Search Results for "use" - Page 32
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Showing 3219 open source projects for "use"
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1
django-push-notifications
Send push notifications to mobile devices through GCM or APNS
...Note that sending a non-bulk test message to more than one device will just iterate over the devices and send multiple single messages. UPDATE_ON_DUPLICATE_REG_ID: Transform create of an existing Device (based on registration id) into an update. Sending messages in bulk makes use of the bulk mechanics offered by GCM and APNS. It is almost always preferable to send bulk notifications instead of single ones. -
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Strawberry GraphQL
A GraphQL library for Python that leverages type annotations
Python GraphQL library based on dataclasses. Strawberry's friendly API allows to create GraphQL API rather quickly, the debug server makes it easy to quickly test and debug. Django and ASGI support allow having your API deployed in production in a matter of minutes. The quick start method provides a server and CLI to get going quickly. Strawberry comes with a mypy plugin that enables statically type-checking your GraphQL schema. A Django view is provided for adding a GraphQL endpoint to your... -
3
RecBole
A unified, comprehensive and efficient recommendation library
...RecBole is developed based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose. It can be installed from pip, conda and source, and is easy to use. We have implemented more than 100 recommender system models, covering four common recommender system categories in RecBole and eight toolkits of RecBole2.0, including General Recommendation, Sequential Recommendation, Context-aware Recommendation, and Knowledge-based Recommendation and sub-packages. -
4
Lambda Builders
Python library to compile, build & package AWS Lambda functions
...Lambda Builders is the brains behind the sam build command from AWS SAM CLI. Lambda Builders is a Python library. It additionally exposes a JSON-RPC 2.0 interface to use in other languages. Build Actions could be implemented in any programming language. Preferably in the language that they are building. Some build actions simply execute a binary (like Golang) without writing a Go script. We provide a generic Python runner to implement such build actions. A build action is a module that knows how to build for a particular programming language & framework (ex: Python+PIP). ... -
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5
jrnl
Collect your thoughts and notes without leaving the command line
...Sync your journals with Dropbox and capture your thoughts where ever you are. jrnl is made by a bunch of really friendly and remarkably attractive people. Maybe even you? Effortlessly access several journals for all parts of your life. You can use it to easily create, search, and view journal entries. Journals are stored as human-readable plain text, and can also be encrypted using AES encryption. -
6
Kinto
A generic JSON document store with sharing and synchronisation options
Kinto is a minimalist JSON storage service with synchronization and sharing abilities. It is meant to be easy to use and easy to self-host. Kinto is used at Mozilla and released under the Apache v2 license. It’s hard for frontend developers to respect users' privacy when building applications that work offline, store data remotely and synchronize across devices. Existing solutions either rely on big corporations that crave user data or require a non-trivial amount of time and expertise to set up a new server for every new project. ... -
7
PyTorch Ignite
Library to help with training and evaluating neural networks
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Less code than pure PyTorch while ensuring maximum control and simplicity. Library approach and no program's control inversion. Use ignite where and when you need. Extensible API for metrics, experiment managers, and other components. The cool thing with handlers is that they offer unparalleled flexibility (compared to, for example, callbacks). Handlers can be any function: e.g. lambda, simple function, class method, etc. Thus, we do not require to inherit from an interface and override its abstract methods which could unnecessarily bulk up your code and its complexity. ... -
8
DjangoBlog
A blog system based on python3.8 and Django3.0
...Website exception email notification. When there is an unhandle exception, system will send an email notification. Wechat official account feature integrated. Now, you can use wechat official account to manage your VPS. -
9
Pendulum
Python datetimes made easy
Pendulum is a Python package to ease datetime's manipulation. It provides classes that are drop-in replacements for the native ones (they inherit from them). Special care has been taken to ensure timezones are handled correctly, and are based on the underlying tzinfo implementation. For example, all comparisons are done in UTC or in the timezone of the datetime being used. There are several different methods available to create a new DateTime instance. datetime() sets the time to 00:00:00 if... -
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10
Google Spreadsheets Python
Google Sheets Python API
...Google has deprecated it in favor of google-auth. 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. -
11
Docker SDK for Python
A Python library for the Docker Engine API
...It can also be configured manually by instantiating a DockerClient class. Run and manage containers on the server. You can also create more advanced networks with custom IPAM configurations. Get and list nodes in a swarm. Before you can use these methods, you first need to join or initialize a swarm. Manage plugins on the server. Both the main DockerClient and low-level APIClient can connect to the Docker daemon with TLS. -
12
Material Theme
A theme for Sublime Text 3 by Mattia Astorino
...If you want to enable the white panels and inputs you can install the addon package through Package Control, search for "Material theme white panels". You have to disable it if you want to use the Lighter theme style. This UI theme uses a custom compiler build on Gulp and JS. If you want to edit the UI you must first install the compiler. Provides a set of Sublime Text icons heavily inspired by this theme and designed by @halacoglu Download it and enjoy a full Material Theme experience. The Material Theme plugin comes with a bunch of features tailored for an optimal experience. ... -
13
LocalStack
Develop and test your cloud apps offline
LocalStack is a fully functional local AWS cloud stack that enables you to develop and test your cloud and serverless apps offline. It spins up an easy-to-use testing environment on your local machine that has the same APIs and works the same way as the real AWS cloud environment. It can spin up a number of different core Cloud APIs on your local machine, including API Gateway, Kinesis, DynamoDB, Firehose, Lambda and many others. LocalStack was built on some of today’s best-of-breed mocking/testing tools, combining them and making them interoperable, and adding important functionality such as error injection and pluggable services. ... -
14
HTTPie Desktop
Cross-platform API testing client for humans
HTTPie Desktop is a graphical API client built on top of the popular HTTPie terminal tool, offering a user-friendly interface for testing and interacting with APIs. It combines the simplicity of HTTPie’s CLI with a modern desktop and web UI for a more visual workflow. Developers can easily build, send, and preview HTTP requests without needing to memorize commands or write scripts. The platform supports organizing work into spaces, collections, and tabs, making it ideal for managing multiple... -
15
Claude for Financial Services
Reference agents, skills, and data for the financial-services
...The repository includes tools for competitive analysis, financial modeling, market research, data-pack generation, and strategic synthesis. Its architecture emphasizes modularity, enabling firms to customize workflows and extend functionality for proprietary use cases. Overall, the project serves as a foundation for building AI-enhanced financial research and decision-support systems. -
16
Scweet
Scrape tweets, profiles, followers and following from Twitter/X
...The project supports a broad set of collection patterns, including searches by keyword, hashtag, user, date range, engagement thresholds, language, and location, making it useful for research, monitoring, and data gathering workflows. It is built for both local use and higher-volume runs, with support for proxies, dedicated accounts, and multi-account cookie handling to improve reliability at scale. Scweet also includes asynchronous method variants, a command-line interface, automatic credential persistence in a local database, etc. -
17
MiniCPM4.1
Achieving 3+ generation speedup on reasoning tasks
...One of its key innovations is the hybrid reasoning mode, which allows developers to control whether the model engages in deeper reasoning processes or faster responses depending on the use case. The model also supports both dense and sparse attention mechanisms, enabling more efficient computation depending on the selected inference framework. With improved pretraining on longer sequences and enhanced scaling techniques, MiniCPM4.1 delivers better performance in long-context tasks and complex problem solving. -
18
MiniStack
Ministack: Free, open-source local AWS emulator
...It emulates over 35 AWS services through a single unified endpoint, allowing developers to test applications, infrastructure, and CI/CD pipelines without needing real cloud resources. One of its defining characteristics is its use of “real infrastructure” where possible, meaning services like databases and container orchestration are backed by actual technologies such as PostgreSQL, MySQL, Redis, and Docker instead of pure mocks. The system is designed to be drop-in compatible with existing AWS tooling, including boto3, Terraform, AWS CLI, and other SDKs, making migration seamless for existing projects. ... -
19
Colab-MCP
An MCP server for interacting with Google Colab
...By exposing Colab as an MCP server, the tool enables seamless integration with a wide range of AI assistants and agent frameworks, creating a standardized interface for tool use and execution. -
20
Cheshire Cat AI
AI agent microservice
...It is highly extensible through a plugin system that supports custom tools, event hooks, and workflows, giving developers fine-grained control over agent behavior and interactions. Cheshire Cat also supports multi-user environments with granular permissions and identity provider integration, making it suitable for enterprise use cases. -
21
OpenMemory
Local long-term memory engine for AI apps with persistent storage
...OpenMemory is built around a hierarchical memory architecture that organizes data into semantic sectors and connects them through a graph-based structure for efficient retrieval. It supports multiple embedding strategies, including synthetic and semantic embeddings, allowing developers to balance speed and accuracy depending on their use case. OpenMemory integrates with various AI tools and environments, offering SDKs and APIs that simplify adding memory capabilities to applications. OpenMemory also includes features like memory decay, reinforcement, and temporal filtering to ensure relevant information remains prioritized while outdated data gradually loses importance. -
22
Wanwu AI Agent Platform
Enterprise AI agent platform for workflows, models, and RAG apps
...With a focus on openness and extensibility, it encourages developers to build on top of its ecosystem while maintaining a secure and compliant architecture for business use cases. -
23
LoLLMs WEBUI
Local AI WebUI for running and managing large language models offlineA
lollms-webui is a locally hosted web interface designed to run and manage large language models without relying on external services. It provides users with a centralized environment to interact with multiple AI models, making it suitable for experimentation, development, and personal use. lollms-webui emphasizes offline capability, allowing users to maintain privacy and control over their data while still accessing advanced AI features. It integrates model management tools that help users download, configure, and switch between different language models with ease. It is built to be user-friendly while still offering advanced customization options for power users who want deeper control over model behavior. ... -
24
Agent Starter Pack
Ship AI Agents to Google Cloud in minutes, not months
...Developers can create fully functional agent projects with a single command, generating both backend and frontend structures along with deployment-ready configurations. The framework supports multiple agent architectures, including ReAct, retrieval-augmented generation, and multi-agent systems, allowing flexibility across use cases. It integrates tightly with Google Cloud services like Vertex AI, Cloud Run, and Terraform-based infrastructure provisioning, enabling scalable and reliable deployments. -
25
Paperless-AI
AI-powered document analysis and tagging for Paperless-ngx
...It integrates with multiple OpenAI-compatible services as well as local models, giving users flexibility in how document intelligence is handled. A key capability is its use of retrieval-augmented generation, which enables semantic search and natural language interaction across an entire document archive. Users can ask contextual questions about their files and receive precise answers based on full document understanding rather than simple keyword matching. Paperless-AI also includes a web interface for manual review and tagging, allowing greater control when handling sensitive or complex documents.
