Search Results for "budgets"
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Showing 53 open source projects for "budgets"
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1
CUDOS Framework
Command Line Interface tool for Cloud Intelligence Dashboards
...It is part of the AWS Solutions Library and includes CloudFormation templates, CLI commands, and pre-built dashboards that collect, process, and visualize data from AWS billing, cost management, budgets, and usage reports in services such as Amazon QuickSight or other BI tools. These dashboards give finance and engineering teams the power to track spending trends, budget forecasts, account utilization patterns, and compliance signals in a unified view, enabling better governance and financial accountability at scale. -
2
Firefly III
Firefly III: a personal finances manager
Firefly III is a personal finance manager and double-entry accounting tool built to help individuals and small organizations track budgets, investments, debts, and expenses. Users can import bank statements (CSV, OFX, QIF) or integrate via APIs, map transaction categories, and reconcile accounts. The system supports budgeting schedules, repeating transactions, automatic categorization rules, and reporting dashboards to analyze trends over time. For investments, it tracks price history, performance, and holdings, allowing users to see their net worth across accounts and assets. ... -
3
EZ Bookkeeping
A lightweight, self-hosted personal finance app
...Users can set budgets, receive alerts when thresholds are approached, and generate financial reports like profit and loss statements or category breakdowns, empowering better planning and decision-making. Because it’s self-hostable with a straightforward stack, users can deploy it locally or on private servers, ensuring full control over sensitive financial data. -
4
FastViT
This repository contains the official implementation of research
FastViT is an efficient vision backbone family that blends convolutional inductive biases with transformer capacity to deliver strong accuracy at mobile and real-time inference budgets. Its design pursues a favorable latency-accuracy Pareto curve, targeting edge devices and server scenarios where throughput and tail latency matter. The models use lightweight attention and carefully engineered blocks to minimize token mixing costs while preserving representation power. Training and inference recipes highlight straightforward integration into common vision tasks such as classification, detection, and segmentation. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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5
Design Resources for Developers
Curated list of design and UI resources from stock photos
...Each entry typically includes a short label and link, emphasizing utility over long descriptions and making the list easy to scan. The collection favors free and high-quality options, which is helpful for solo developers, students, and small teams working on tight budgets. Because categories are broad and technology-agnostic, the list works whether you build in React, Vue, vanilla HTML/CSS, or mobile stacks. It is a living catalog that developers often bookmark as a one-stop hub for visual assets and front-end polish. -
6
litelm
litellm without the bloat
...Async variants are available for the major operations. Provider errors are normalized into a shared exception hierarchy. The project intentionally omits load-balancing routers, caching, budgets, token counting, agents, image generation, and other heavier features. -
7
MagiCrew
The first open-source all-in-one AI productivity platform
MagiCrew is an open source enterprise AI agent platform that combines assistants, expert agents, workflow automation, messaging, and collaborative productivity tools. It centralizes organizational data and knowledge so AI capabilities can be shared across teams. Administrators can set budgets by department, user, or task to control model spending. Sandboxed execution and human approval gates help contain risky automated actions. Agents can connect to internal systems such as ERP and CRM platforms and produce finished artifacts including reports, dashboards, presentations, and spreadsheets. Magic supports self-hosted Docker deployment as well as hosted and enterprise editions for organizations of different sizes. -
8
Mercury Agent
Soul-driven AI agent with permission-hardened tools, token budgets
Mercury Agent is a framework for building autonomous AI agents capable of executing complex workflows with minimal human intervention. It focuses on orchestrating tasks across multiple tools and services, enabling agents to perform end-to-end operations. The system includes mechanisms for planning, execution, and feedback, allowing agents to refine their actions iteratively. It supports integration with external APIs and services, making it adaptable to various domains. The architecture is... -
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Spider
High-performance Rust web crawler and scraper for large-scale data
Spider is a high-performance web crawler and web scraping library written in Rust that enables developers to crawl and index websites efficiently. It focuses on speed, concurrency, and reliability by using asynchronous and multi-threaded processing to handle large volumes of web pages. It can rapidly crawl websites to collect links, retrieve page content, and extract structured information from HTML documents. Spider can operate concurrently across many pages, allowing it to gather large... -
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10
Tally
Let agents classify your bank transactions
...The project emphasizes transparency, allowing users to see why a particular transaction was classified a certain way and to refine rules over time. While it’s tailored toward developers and advanced users, it also includes an interactive command-line experience for initializing budgets, generating charts, and diving deep into spending patterns. -
11
LiveContext
The AI automation platform, self-hosted
LiveContext is a self-hosted AI automation platform that combines chat-driven building, workflows, agents, data tables, and lightweight apps in one environment. Users describe a job conversationally, and the platform turns it into a readable automation graph with scoped AI workers. Each agent can have its own model, tools, files, permissions, credit budget, and audit trail. Workflows can power forms, dashboards, approval screens, and internal tools without requiring a separate app builder.... -
12
Bifrost
The Fastest LLM Gateway with built in OTel observability
Bifrost is an LLM gateway designed to provide a unified OpenAI-compatible API front for many different model providers. It abstracts away the complexity of working directly with multiple backend providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, etc.), enabling you to plug in providers and switch between them without touching your client code. It is built to be high performance: in benchmark tests at 5,000 requests per second, it reportedly adds only microseconds of overhead and... -
13
SimpleEnglish
Agent skill: make LLMs write docs in ASD-STE100
...It is designed for documentation, error messages, runbooks, incident reports, release notes, prompts, and translation preparation rather than marketing copy. The repository includes a complete skill, reusable system prompts, examples, evaluations, and a compact version for limited context budgets. It works with Agent Skills-compatible tools such as Claude Code, Cursor, Codex, Copilot, Gemini CLI, Goose, and OpenCode. Users without native skill support can paste the provided prompt into chatbot instructions or project configuration files. -
14
Fish Speech
SOTA Open Source TTS
Fish Speech is a state-of-the-art open-source text-to-speech project that has evolved into the OpenAudio series of advanced TTS models. The repository hosts the code and tooling for training, fine-tuning, and serving high-quality TTS, while the current flagship models (OpenAudio-S1 and S1-mini) are distributed via Fish Audio’s playground and Hugging Face. The models are evaluated with Seed TTS metrics and achieve exceptionally low word and character error rates, indicating strong... -
15
WYGIWYH
A simple but powerful self-hosted finance tracker
WYGIWYH (What You Get Is What You Have) is a self-hosted, principles-first personal finance tracker built for people who prefer a simple, intuitive approach to tracking money without complicated budgets or categories. Based on a philosophy that you should use what you earn each month for that month, it helps you understand where your funds go while keeping savings clearly separated so they aren’t accidentally dipped into for everyday expenses. The app supports multiple currencies, customizable transaction types, and built-in tools like dollar-cost averaging tracking to help you see investment activity alongside regular expenses, making it flexible for real world financial situations and global use. ... -
16
lilliput
Resize images and animated GIFs in Go
Lilliput is a lightweight image codec and processing library tailored for environments where performance, portability, and resource efficiency are critical, such as gaming clients, real-time applications, or systems with constrained memory budgets. Designed to support fast decoding and manipulation of common image formats like PNG, JPEG, WebP, and BMP, Lilliput is engineered to minimize dependencies and be easily integrated into a variety of C/C++-based projects without pulling in heavy external libraries. The library provides APIs for scaling, resizing, color conversions, and basic image operations that are crucial for performance-sensitive applications that need to display or transform images on the fly. ... -
17
Nevergrad
A Python toolbox for performing gradient-free optimization
Nevergrad is a Python library for derivative-free optimization, offering robust implementations of many algorithms suited for black-box functions (i.e. functions where gradients are unavailable or unreliable). It targets hyperparameter search, architecture search, control problems, and experimental tuning—domains in which gradient-based methods may fail or be inapplicable. The library provides an easy interface to define an optimization problem (parameter space, loss function, budget) and... -
18
SlowFast
Video understanding codebase from FAIR for reproducing video models
SlowFast is a video understanding framework that captures both spatial semantics and temporal dynamics efficiently by processing video frames at two different temporal resolutions. The slow pathway encodes semantic context by sampling frames sparsely, while the fast pathway captures motion and fine temporal cues by operating on densely sampled frames with fewer channels. Together, these two pathways complement each other, allowing the network to model both appearance and motion without... -
19
Sprix SAGE Router
State-aware SELF/COLLABORATE/HANDOFF routing for A2A agent networks
...It decides whether an active agent should continue alone, recruit collaborators, or hand a task to another specialist. Routing decisions account for current progress, capability coverage, context-transfer costs, permissions, budgets, and deadlines. The system assigns remaining requirements to agents through task dependency graphs and estimates execution schedules. It learns contextual reliability and outcome information from previous execution evidence instead of relying on a single reputation score. Bounded search and replanning allow the router to compare feasible teams and revise decisions as task conditions change. -
20
Preact
Fast 3kB React alternative with the same modern API
...The library embraces modern patterns like functional components, hooks, and context while keeping the API surface minimal. Tooling integrations and ecosystem packages round out the experience, so teams can ship production apps without sacrificing bundle budgets. -
21
slow-query-detector
Catch slow queries before your users feel them.
queryd is a lightweight query observability layer for Node.js: driver-agnostic hooks (wrapQueryFn, wrapTaggedTemplate, SlowQueryDetector.executeQuery), optional Prisma integration via @olegkoval/queryd/prisma, sampling, optional per-request query budgets, optional EXPLAIN ANALYZE, and pluggable sinks. -
22
GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs
...The GLM-Z1-32B-0414 line adds deeper mathematical, coding, and logical reasoning via extended reinforcement learning and pairwise ranking feedback, while GLM-Z1-Rumination-32B-0414 introduces a “rumination” mode that performs longer, tool-using deep research for complex, open-ended tasks. A lightweight GLM-Z1-9B-0414 brings many of these techniques to a smaller model, targeting strong reasoning under tight resource budgets. -
23
LLM Course
Course to get into Large Language Models (LLMs)
...Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches that fit their hardware and budgets. The materials also cover inference optimization and quantization to make serving LLMs feasible on commodity GPUs or even CPUs, which is crucial for side projects and startups. Evaluation is treated as a first-class topic, with examples of automatic and human-in-the-loop methods to catch regressions and verify quality beyond simple loss values. ... -
24
MiniMax-M1
Open-weight, large-scale hybrid-attention reasoning model
MiniMax-M1 is presented as the world’s first open-weight, large-scale hybrid-attention reasoning model, designed to push the frontier of long-context, tool-using, and deeply “thinking” language models. It is built on the MiniMax-Text-01 foundation and keeps the same massive parameter budget, but reworks the attention and training setup for better reasoning and test-time compute scaling. Architecturally, it combines Mixture-of-Experts layers with lightning attention, enabling the model to... -
25
Actual Budget
Fast, privacy-focused personal finance app
...With intuitive budgeting tools, streamlined transaction management, and powerful custom reporting, Actual Budget makes it easier to understand your spending and savings. It brings all your accounts, budgets, and insights together in one beautifully designed and lightning-fast interface.
