Search Results for "actual"
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Showing 50 open source projects for "actual"
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Actual
A local-first personal finance app
Actual is a local-first personal finance application designed to give users full control over their budgeting and financial data without relying on centralized cloud services. It is built using Node.js and operates with a synchronization layer that allows users to keep their data consistent across multiple devices while still maintaining ownership of their information. -
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Actual Budget
Fast, privacy-focused personal finance app
Actual Budget is a fast, privacy-focused personal finance app built around the proven envelope budgeting methodology. It keeps you in control of your money with tools designed to help you make thoughtful financial decisions rather than relying on automated guesswork. The app is fully local-first, meaning it works offline and syncs quietly across your devices without ever compromising ownership of your data. -
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Actual Budget
Local-first personal finance app for budgeting, tracking accounts,
Actual Budget is a local-first personal finance app designed for people who want a fast, privacy-focused, and fully user-controlled way to manage their money. It provides a modern platform for budgeting, tracking accounts, recording transactions, and understanding day-to-day finances without giving up ownership of your data. Actual is built around a local-first architecture, meaning your budget data lives on your device, while synchronization can be used to keep changes consistent across devices. ... -
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Gradle Task Tree
Gradle plugin that adds a 'taskTree' task that prints task dependency
A Gradle plugin that adds a taskTree task to your build. Running it prints out a hierarchical, easy‑to‑read task dependency tree, helping you visualize the build execution order. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Flowsurface
A native desktop charting platform for crypto markets
...Instead of traditional price charts alone, Flowsurface emphasizes order flow and liquidity visualization through advanced chart types like historical DOM heatmaps, footprint charts, and depth ladder displays. This enables traders and analysts to understand actual executed trades, liquidity distribution, and tempo changes that often precede significant market movements. The platform connects directly to public exchange APIs and WebSocket streams from venues such as Binance, Bybit, and OKX, allowing low-latency real-time data ingestion without relying on third-party servers. Users can customize layouts across multiple panes, adjust aggregation intervals, and tailor the visual presentation to suit different trading strategies. -
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InMemoryDatasets.jl
Multithreaded package for working with tabular data in Julia
InMemoryDatasets.jl is a multithreaded package for data manipulation and is designed for Julia 1.6+ (64-bit OS). The core computation engine of the package is a set of customized algorithms developed specifically for columnar tables. -
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AIQuant
AI-powered platform for quantitative trading
ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. ... -
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Sysdig
Linux system exploration and troubleshooting tool
Continuously assess cloud security posture by flagging misconfigurations and suspicious activity. Consolidate container and host scanning in a single workflow. Automate scanning locally in your CI/CD tools without images leaving your environment and block vulnerabilities pre-deployment. Visualize all network communication across apps and services. Apply microsegmentation by automating Kubernetes-native network policies. Unify threat detection and incident response across containers,... -
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classic.tplx
A more accurate representation of jupyter notebooks
A more accurate representation of Jupyter notebooks when converting to pdfs. This template was designed to make converted Jupyter notebooks look (almost) identical to the actual notebook. If something doesn't exist in the original notebook then it doesn't belong in the conversion. As of nbconvert 5.5.0, the majority of these improvements have been merged into nbconvert's default template. Version 3.x of this package will continue to support nbconvert 5.5.0 and lower, whereas in the future version 4.x will only support nbconvert 5.5.0 and newer. ... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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PDMats.jl
Uniform Interface for positive definite matrices of various structures
...In particular, it provides uniform interfaces to use positive definite matrices of various structures for writing generic algorithms, while ensuring that the most efficient implementation is used in actual computation. -
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Infiltrator.jl
No-overhead breakpoints in Julia
This package provides the @infiltrate macro, which acts as a breakpoint with negligible runtime performance overhead. Note that you cannot access other function scopes or step into further calls. Use an actual debugger if you need that level of flexibility. Running code that ends up triggering the @infiltrate REPL mode via inline evaluation in VS Code or Juno can cause issues, so it's recommended to always use the REPL directly. When the infiltration point is hit, it will drop you into an interactive REPL session that lets you inspect local variables and the call stack as well as execute arbitrary statements in the context of the current local and global scope. -
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PyBroker
Algorithmic Trading in Python with Machine Learning
Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance. -
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EZ Bookkeeping
A lightweight, self-hosted personal finance app
...It provides a clean, modern interface where users can enter transactions, categorize expenses, and visualize financial data through dashboards, charts, and monthly summaries so that users can better understand their cash flow and spending patterns. The system supports multiple account types (such as bank accounts, cash, and digital wallets) and enables reconciliation to ensure records match actual balances. 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. -
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PyTorch Forecasting
Time series forecasting with PyTorch
...A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along with logging in tensorboard and generic visualizations such actual vs predictions and dependency plots. Multiple neural network architectures for timeseries forecasting that have been enhanced for real-world deployment and come with in-built interpretation capabilities. The package is built on PyTorch Lightning to allow training on CPUs, single and multiple GPUs out-of-the-box. -
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Gardener
Kubernetes-native system managing the full lifecycle of Kubernetes
...The Gardener project is committed to fostering an open community of collaborators and adopters. We aim to deliver a standard solution that meets the needs of our entire community and ecosystem. Gardener was born as a solution for actual and common problems such as control on the Kubernetes stack, minimizing the TCO, infrastructures pervasiveness, operating in restricted/regulated environments or bare metal, at a massive scale. -
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better-all
Better Promise.all with automatic dependency optimization
....$ context, allowing the library to kick off independent operations immediately and only wait for dependent results when needed. This approach increases readability, reduces boilerplate, and optimizes execution timing based on actual dependency relations rather than naive static ordering. -
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NannyML
Detecting silent model failure. NannyML estimates performance
...NannyML closes the loop with performance monitoring and post deployment data science, empowering data scientist to quickly understand and automatically detect silent model failure. By using NannyML, data scientists can finally maintain complete visibility and trust in their deployed machine learning models. When the actual outcome of your deployed prediction models is delayed, or even when post-deployment target labels are completely absent, you can use NannyML's CBPE-algorithm to estimate model performance. -
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Font Finder
Instantly identify every font, weight and colour used on any webpage w
...FEATURES: - Identifies all font families used on any webpage - Shows font weights (Regular, Bold, SemiBold etc.) - Displays color swatches with hex codes — click to copy - Renders font names in their actual typeface - Shows real text examples pulled from the page - No sign up, no tracking, no data collection WHO IS THIS FOR: - Designers researching typography and visual identity - Developers debugging fonts without digging through CSS - SEO professionals auditing page consistency - Marketers analyzing competitor websites Available on Chrome, Firefox, Opera, and Microsoft Edge. ... -
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qmcalc2
Programmable graphical scientific calculator
Full featured graphical scientific calculator modeled after actual commercial hand held scientific calculators. Fully tested and error free (as far as I know). Comes with HTML documentation, test files and sample calculator scripts. Win Xp / Linux. Works also for Windows 7 Professional and Ultimate edition. -
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Web based cataloging and dedupe application. Highly optimized for processing journal articles. Reads MarcXML and dedupes records using the field 773 combined with a fuzzy search on the title. Written for bibnet.org
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TA-Lib.git: Technical Analysis Library
Mirror of the TA-Lib project using a Git repository
This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project. -
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Reproducible-research
A Reproducible Data Analysis Workflow with R Markdown, Git, Make, etc.
...It combines the benefits of various open-source software tools including R Markdown, Git, Make, and Docker, whose interplay ensures seamless integration of version management, dynamic report generation conforming to various journal styles, and full cross-platform and long-term computational reproducibility. The workflow ensures meeting the primary goals that 1) the reporting of statistical results is consistent with the actual statistical results (dynamic report generation), 2) the analysis exactly reproduces at a later point in time even if the computing platform or software is changed (computational reproducibility), and 3) changes at any time (during development and post-publication) are tracked, tagged, and documented while earlier versions of both data and code remain accessible. -
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WebPayAS2019
Sample/Actual payroll program/book in PHP and MySQL
This is a sample/working payroll program, and PDF book, for learning payroll and PHP/MySQL. It is a web app, written in PHP/MySQL. The webapp is for a small business, with 1-15 employees. It should give you practice in learning payroll, installing on the web, PHP and MySQL. The WebPay App calculates payroll, and produces reports for tax and accounting purposes. New features for 2019 include this years Tax Percentages, and ability to print W2 forms at year end. The current feature for... -
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Illustrated Algorithms
Interactive algorithm visualizations
Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to record the context at every step. Literally the same source file. Going back and forth between function execution (and call stack when algorithm uses recursion) is effortless. ... -
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vision2
Binocular vision examination using shutter glasses
Vision2 serves as tool for ophthalmologists and other vision testing professionals. It's useful for a variety of ophthalmology testing applications related to stereo vision. It implements many of classical tests but also new types of vectographic and random dot exams. Program was created as part of diploma thesis in Wroclaw University of Technology in Poland.
