Search Results for "summary"
Sort By:
Showing 577 open source projects for "summary"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
Profile Summary
Tool for visualizing GitHub profiles
Profile Summary for GitHub is a web application for turning a public GitHub account into a more visual overview of its development activity. It uses the GitHub API to collect profile and repository information and present it as summary graphics and statistics. Its visualizations include repository distribution by programming language and commit distribution by language. -
2
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. -
3
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. -
4
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. -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
5
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. -
6
mysqlclient
MySQL/MariaDB connector for Python
Summary: mysqlclient is a MySQL/MariaDB connector for Python, providing a convenient interface for database interactions. -
7
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. -
8
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. -
9
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. .... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
10
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. -
11
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. -
12
Fast Jev Compaction
Claude Code plugin that replaces the compaction summary
...Stale tool interactions can be removed or truncated, while retained content stays verbatim and in its original order. User and assistant text is preserved rather than compressed into a generated summary. Recent messages can be pinned so they are never discarded during compaction. The system progressively reduces oversized context before scoring it and falls back to Claude Code’s built-in compaction when necessary. It is designed to preserve exact paths, errors, commands, and constraints that ordinary summaries might lose. -
13
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. -
14
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. -
15
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. -
16
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. -
17
Summary of Loan Suspension
Summary of loan suspension notices from provinces and cities
Summary of Loan Suspension is a crowdsourced data repository documenting reported mortgage-payment suspension notices associated with unfinished housing developments in China. The project organizes entries by province, city, district, and housing development. Its maintainers explicitly describe the dataset as nonprofessional and approximate rather than an authoritative statistical source. -
18
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. -
19
FastQC
A quality control analysis tool for high throughput sequencing data
FastQC is a quality control analysis tool designed to spot potential problems in high throughput sequencing datasets. Its goal is to provide a simple way by which to check the quality of raw sequence data coming from high throughput sequencing pipelines. It does this by running a modular set of analyses on one or more raw sequence files in fastq or bam format. It then produces a report summarizing the results, and highlighting any areas where the library may appear unusual. This should then... -
20
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,... -
21
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. -
22
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. -
23
Coverage.jl
Take Julia code coverage and memory allocation results, do useful thin
Julia can track how many times, if any, each line of your code is run. This is useful for measuring how much of your code base your tests actually test, and can reveal the parts of your code that are not tested and might be hiding a bug. You can use Coverage.jl to summarize the results of this tracking or to send them to a service like Coveralls.io or Codecov.io. Julia can track how much memory is allocated by each line of your code. This can reveal problems like type instability, or... -
24
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. -
25
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.
