Search Results for "summary"
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Showing 567 open source projects for "summary"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Git Extras
GIT utilities, repo summary, repl, changelog population, and more
GIT extra utilities, like repo summary, repl, changelog population, author commit percentages and more. Supports several sub-commands such as git-ignore, git-setup, git-summary, git-changelog, git-effort, etc. Some commands require extra dependencies which are unavailable in some platforms. You may need to install them manually. Note that only the Homebrew package is maintained by the git-extras developers directly. -
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ggstatsplot
Enhancing {ggplot2} plots with statistical analysis
...The central idea of {ggstatsplot} is simple: combine these two phases into one in the form of graphics with statistical details, which makes data exploration simpler and faster. Summary of statistical tests and effect sizes. -
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gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
gtsummary is an R package for creating elegant, customizable, publication-ready summary tables of datasets and statistical models. It provides concise code to produce demographic tables (tbl_summary()), regression result tables, and more, with flexible styling options for reporting. -
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BTC RPC Explorer
Database-free, self-hosted Bitcoin explorer, via RPC to Bitcoin Core
...With this explorer, you can explore not just the blockchain database, but also explore all of the functional capabilities of your own node. Optional transaction history for addresses by querying from Electrum-protocol servers (e.g. Electrs, ElectrumX), blockchain, blockchair or blockcypher. Mempool summary, with fee, size, and age breakdowns. See raw JSON content from bitcoind used to generate most pages. Analysis tools for viewing stats on blocks, transactions, and miner activity. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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My Brain
Open-source, All-in-one productivity app for Tasks, Notes, Calendar
...Create tasks with priority, sub-tasks, descriptions, and due dates and reminders. Create Notes that support markdown which enables you to use Headers, lists, links, etc. Record your mood daily and view your mood summary with beautiful graphs. -
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hey
HTTP load generator, ApacheBench (ab) replacement
...It’s simple, efficient, performant, powerful, and was designed as a more modern alternative to Apache’s AB. Why ever look elsewhere one may ask? Well the answer for me is that the summary output, whilst very cool, is a little too simplistic for my use-case. -
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mysqlclient
MySQL/MariaDB connector for Python
Summary: mysqlclient is a MySQL/MariaDB connector for Python, providing a convenient interface for database interactions. -
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BenchmarkDotNet
Powerful .NET library for benchmarking
BenchmarkDotNet is a powerful .NET library designed for creating accurate and reproducible benchmarks. It handles complexities like warm-up, outlier removal, and statistical analysis, presenting results in a clean, customizable summary format. BenchmarkDotNet has tons of features that are essential in comprehensive performance investigations. Four aspects define the design of these features: simplicity, automation, reliability, and friendliness. A lot of hand-written benchmarks produce wrong numbers that lead to incorrect business decisions. BenchmarkDotNet protects you from most of the benchmarking pitfalls and allows you to achieve high measurement precision. -
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AIQuant
AI-powered platform for quantitative trading
...Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. Resource summary: network-wide resource summary, practical cases, paper interpretation, and code implementation. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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gotestsum
'go test' runner with output optimized for humans, JUnit XML for CI
gotestsum runs tests using go test -json, prints formatted test output, and a summary of the test run. It is designed to work well for both local developments, and for automation like CI. When the --rerun-fails flag is set, gotestsum will re-run any failed tests. The tests will be re-run until each passes once, or the number of attempts exceeds the maximum attempts. Maximum attempts defaults to 2, and can be changed with --rerun-fails=n. gotestsum supports executing a compiled test binary (created with go test -c) by running it as a custom command. pkgname is the name of the package being tested, it will show up in the test output. .... -
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CausalImpact
An R package for causal inference in time series
...It uses Bayesian modeling to fit a structural time series to the pre-period and extrapolate a counterfactual prediction for the post period, then compares observed vs predicted to infer the causal effect. The package supports plotting, summary tables, and verbal narratives for interpretive reports. -
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whylogs
The open standard for data logging
...With whylogs, users are able to generate summaries of their datasets (called whylogs profiles) which they can use to track changes in their dataset Create data constraints to know whether their data looks the way it should. Quickly visualize key summary statistics about their datasets. whylogs profiles are the core of the whylogs library. They capture key statistical properties of data, such as the distribution (far beyond simple mean, median, and standard deviation measures), the number of missing values, and a wide range of configurable custom metrics. By capturing these summary statistics, we are able to accurately represent the data and enable all of the use cases described in the introduction. -
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see
Visualisation toolbox for beautiful and publication-ready figures
see is an R package that serves as the visualization component of the easystats ecosystem, providing plotting utilities to produce publication-ready visualizations of statistical model parameters, diagnostics, predictions, and performance metrics. It works in conjunction with other easystats packages (such as parameters, performance, modelbased, bayestestR, etc.) to convert model outputs or summary objects into visual forms (dot-and-whisker plots, diagnostic plots, residual plots, etc.). It includes themes, scales, geoms for ggplot2, and custom color palettes to make visual summaries more informative and attractive. -
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FastAPI
FastAPI framework, high performance, easy to learn, fast to code
...If you are building a CLI app to be used in the terminal instead of a web API, check out Typer. Typer is FastAPI's little sibling. And it's intended to be the FastAPI of CLIs. In summary, you declare once the types of parameters, body, etc. as function parameters. You do that with standard modern Python types. You don't have to learn a new syntax, the methods or classes of a specific library, etc. -
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Chucker
An HTTP inspector for Android & OkHTTP (like Charles but on device)
...Chucker works as an OkHttp Interceptor persisting all those events inside your application, and providing a UI for inspecting and sharing their content. Apps using Chucker will display a notification showing a summary of ongoing HTTP activity. Tapping on the notification launches the full Chucker UI. Apps can optionally suppress the notification, and launch the Chucker UI directly from within their own interface. -
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performance
Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
performance is part of the easystats ecosystem and offers model quality assessment tools for R. It computes metrics like R², RMSE, ICC, and conducts diagnostics such as overdispersion, zero‑inflation, convergence, and singularity checks, complementing model workflows with comprehensive evaluation. -
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Presubmit
Context-aware AI reviewer for Pull Requests
Optimize your code review process with Presubmit's AI Code Reviewer catches bugs, suggests improvements, and provides a meaningful summary - all before human reviewers take their first look. -
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Local-NotebookLM
Googles NotebookLM but local
Local-NotebookLM is a local AI tool for turning PDF documents into generated audio content. It works like a self-hosted alternative to NotebookLM-style document-to-audio workflows. The system extracts and processes PDF text, sends the content through an LLM, and converts the result into speech with configurable voices. Users can generate podcasts, summaries, interviews, lectures, debates, tutorials, news reports, executive briefs, and other formats. It supports multiple LLM providers,... -
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broom
Convert statistical analysis objects from R into tidy format
broom is part of the tidymodels ecosystem that converts statistical model outputs (e.g. from lm, glm, t.test, lme4, etc.) into tidy tibbles — standardized data frames — using functions tidy(), glance(), and augment(). These are easier to manipulate, visualize, and report programmatically. -
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AgentOps
Python SDK for agent monitoring, LLM cost tracking, benchmarking, etc.
Industry-leading developer platform to test and debug AI agents. We built the tools so you don't have to. Visually track events such as LLM calls, tools, and multi-agent interactions. Rewind and replay agent runs with point-in-time precision. Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production. Native integrations with the top agent frameworks. -
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Elyra
Elyra extends JupyterLab with an AI centric approach
Elyra is a set of AI-centric extensions to JupyterLab Notebooks. The Elyra Getting Started Guide includes more details on these features. A version-specific summary of new features is located on the releases page. -
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Miniflux 2
Minimalist and opinionated feed reader
Miniflux is a minimalist and opinionated feed reader. The page layout, fonts, and colors are chosen to be readable on a screen. The most important thing is the content. Do you have feeds that display only a summary? Fetch the original article automatically. I suppose you don't like bloated software? Miniflux focuses on simplicity. Less is more! Be productive, use the keyboard shortcuts to navigate through the application. Scan quickly your unread items with the lightweight user interface. Miniflux is compiled statically without external dependencies, drop the binary on your server and you are done. ... -
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Claude Code Action
Claude Code action for GitHub PRs
...Teams can configure how and when it participates, including authentication via Anthropic’s API as well as cloud providers like Bedrock or Vertex, and control whether it posts inline comments, summary reviews, or pushes commits. It supports streaming responses and longer interactions so that reviewers can iterate naturally in the same PR thread. -
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Shapash
Explainability and Interpretability to Develop Reliable ML models
...Data Scientists can more easily understand their models, share their results and easily document their projects in an HTML report. End users can understand the suggestion proposed by a model using a summary of the most influential criteria. -
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Discord Client Encyclopedia
A non-exhaustive collection of third-party clients for Discord
...It organizes entries across mobile, desktop, game console, alternative client, and server-implementation categories. Each listing includes practical metadata such as platform type, feature summary, language, and development status when available. The project is not a client itself, but a research index for comparing the broader Discord modification and alternative-client ecosystem. It also includes contribution guidance so the list can be expanded or corrected over time. Because many listed tools may affect account safety or violate platform rules, the repository includes a clear disclaimer about user responsibility.
