Search Results for "analytics" - Page 3
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Showing 1068 open source projects for "analytics"
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Marketing Skills for Claude Code
Marketing skills for Claude Code and AI agents
Marketing Skills for Claude Code is an extensive library of structured “skills” designed to empower Claude Code and similar AI coding agents to perform specialized marketing tasks with strategic depth, helping technical marketers and founders apply best practices in areas such as conversion rate optimization, SEO, analytics, copywriting, and growth engineering directly in an AI-assisted workflow. Each skill in the repository is expressed as a Markdown file that encapsulates specific marketing frameworks, workflows, and context, enabling AI agents to recognize and execute domain-targeted tasks like “analytics-tracking” setup, “seo-audit,” conversion testing plans, launch strategies, email sequence creation, and more. ... -
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Cloudberry
One advanced and mature open-source MPP
Apache Cloudberry is a distributed real-time analytics engine designed for querying massive social media datasets. It integrates with Apache AsterixDB and supports efficient ad-hoc queries and aggregations across large volumes of data. Cloudberry is especially useful for dashboards, trend analysis, and time-series social data exploration. -
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pg_mooncake
Real-time analytics on Postgres tables
pg_mooncake is a PostgreSQL extension that brings observability and performance insights to your database by exposing low-level metrics and analytics. It provides developers with enhanced visibility into query execution, memory usage, and system behavior. Ideal for fine-tuning Postgres performance, pg_mooncake is designed for those who need actionable insights without external tools. -
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hctsa
Highly comparative time-series analysis
hctsa is a Matlab software package for running highly comparative time-series analysis. It extracts thousands of time-series features from a collection of univariate time series and includes a range of tools for visualizing and analyzing the resulting time-series feature matrix. -
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MinIO
High performance object storage server compatible with Amazon S3 APIs
MinIO is a high performance object storage server that is API compatible with Amazon S3 cloud storage service. MinIO makes it easy to build high performance, cloud native data infrastructure for machine learning, analytics and application data workloads. It is incredibly fast, enabling object storage to operate as the primary storage tier for a diverse set of workloads. It is also built to be cloud native and enterprise ready. MinIO is being used worldwide in various production deployments, and is leading the way as the most downloaded object storage server in the industry. -
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Answer Overflow
Powering Discord content discovery by making web pages from threads
...The project is designed to reduce repeated support questions, grow community visibility, and improve the quality of help-channel discussions. It can index questions, organize solved discussions, provide analytics, and surface insights about common problems and helpful contributors. Large technical communities can use it to transform repeated Discord answers into long-term public knowledge. It is especially useful for developer tools, open-source projects, and support-heavy servers that rely on Discord as a primary help channel. -
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Open Semantic Search
Open source semantic search and text analytics for large document sets
...It also supports optical character recognition to extract text from images and scanned documents, including images embedded inside PDF files. It integrates text mining and analytics capabilities that allow users to examine relationships, topics, and structured data within document collections. -
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Guardian Eye
Privacy-focused video surveillance software for Windows & Linux
Guardian Eye is a privacy-focused desktop video surveillance application that keeps camera footage and processing on the user's own hardware. It supports multiple camera sources, including ONVIF devices, RTSP or RTSPS streams, and USB webcams. Built-in AI can detect motion and objects, while audio analytics can identify events such as barking, alarms, or breaking glass. Smart recording supports event triggers, pre-record buffers, segmented files, and automatic storage cleanup. The software can also detect camera tampering, including lens obstruction, defocus, and static-image substitution. Live feeds can be viewed from a browser on the local network, while alerts can be sent through Telegram, email, or Home Assistant. ... -
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Ibis
Expressive analytics in Python at any scale
Ibis is a Python library to help you write expressive analytics at any scale, small to large. Its goal is to simplify analytical workflows and make you more productive. Ibis gives you the benefit of a programming language. You don't need to sacrifice maintainability to get to those insights! Ibis builds on top of and works with existing Python tools. Ibis provides a full-featured replacement for SQL SELECT queries, but expressed with Python code. -
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Maestro AI Orchestration
Agent Orchestration Command Center
...Maestro includes advanced features like Git worktrees to isolate sub-agent tasks, command-line interfaces for integration into CI/CD pipelines, remote control via phone, and comprehensive session analytics. -
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The Cognitive3D SDK for Unreal
Cognitive3D SDK for Unreal, Analytics for VR/AR/MR
This SDK for Unreal provides analytics and insights about your project. In addition, Cognitive3D empowers you to take actions that will improve users' engagement with your experience. Ensure that the Analytics Blueprints Plugin is enabled. You can either enable it in the Plugins browser in the Unreal Editor or by modifying the project file. Close the Unreal Editor and re-open it through the Epic Games Launcher. -
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Pandas Profiling
Create HTML profiling reports from pandas DataFrame objects
pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase,... -
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parseable
Parseable is a log analytics system written in Rust
Parseable is a log analytics platform, built for the modern, cloud native era. Parseable uses a index-free mechanism to organize and query data allowing low latency, and high throughput ingestion and query. -
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HeavyDB
HeavyDB (formerly MapD/OmniSciDB)
...Its architecture allows users to query datasets containing billions of rows in milliseconds without requiring traditional indexing, pre-aggregation, or sampling techniques. HeavyDB was originally developed as part of the OmniSci platform (formerly MapD) and is commonly used for large-scale analytics and geospatial data processing. The database compiles queries into optimized machine code that executes efficiently on GPU hardware, significantly accelerating analytical workloads. It supports hybrid deployment environments where queries can run on both CPU and GPU architectures depending on the available resources. -
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Apache Phoenix
Mirror of Apache Phoenix
...Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds. -
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Kaset
The missing YouTube Music macOS app
...The platform emphasizes audio discovery with playlists, curated channels, and trending audio feeds, helping users find relevant voice content without sifting through noise. Listeners can subscribe to channels, get personalized recommendations, and join ongoing discussions around episodes or live broadcasts. Creators also receive analytics on engagement, playback patterns, and audience demographics so they can iterate on content strategies. -
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Hi.Events
Open-source event management and ticket selling platform
Hi.Events is an open-source event management and ticketing platform designed to help organizers manage events efficiently. It provides features for event creation, ticket sales, attendee registration, and real-time analytics. The platform is highly customizable, allowing users to set up public or private events, integrate payment gateways, and monitor event metrics through an intuitive dashboard. Hi.Events is ideal for community gatherings, conferences, and professional events. -
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XMLTV 1.4.0
Utilities to obtain, generate, and post-process TV listings data
XMLTV is a suite of utilities to obtain, generate, and post-process TV listings data in XMLTV format. It provides tools to gather television listings, process listings data, and help organize TV viewing. -
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agentsview
Local-first session intelligence and analytics for coding agents
agentsview is a local-first analytics and session browser for developers using AI coding agents. It indexes conversations from tools like Claude Code, Codex, Gemini CLI, Cursor, OpenHands, and many other agent systems. The project lets users browse, search, and analyze coding-agent activity without creating an account or sending session content to a hosted service. -
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Amper
Build tool for the Kotlin and Java languages
Amper is an open-source data collection and metric reporting agent developed by JetBrains as part of their internal analytics and telemetry infrastructure for IntelliJ-based products. Its purpose is to gather usage statistics, performance metrics, error reports, and other diagnostic signals from IDE installations in a privacy-conscious way to help product teams understand real-world usage patterns and improve quality. Designed to be lightweight and efficient, Amper runs as a background service that batches and securely transmits anonymous data back to analytics pipelines while respecting user privacy settings and opt-outs. ... -
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npm-pdfreader
Parse text and tables from PDF files.
npm-pdfreader is a Node.js library for reading text and parsing tables from PDF files. It supports tabular data with automatic column detection and rule-based parsing, making it useful for extracting structured data from PDFs. -
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Bdash
Simple SQL Client for lightweight data analysis
Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases. -
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EEGLAB
EEGLAB is an open source signal processing environment
EEGLAB is an open source, MATLAB-based interactive environment for analyzing electrophysiological signals such as EEG and MEG. It incorporates powerful tools for data import, preprocessing, independent component analysis (ICA), time-frequency analysis, artifact rejection, and visualization—all within a GUI framework that also supports scripting and plugin extensions. EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command... -
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Python for Data Analysis
Materials and IPython notebooks for "Python for Data Analysis"
Python for Data Analysis is the official companion repository for Python for Data Analysis, 3rd Edition by Wes McKinney. It contains the datasets, examples, and IPython notebooks used throughout the book. The repository helps readers practice Python data analysis concepts directly in Jupyter Notebook. Its chapters cover Python basics, NumPy, pandas, data loading, cleaning, wrangling, visualization, time series, modeling libraries, and full analysis examples. The project includes setup... -
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Elementary
Open-source data observability for analytics engineers
Elementary is an open-source data observability solution for data & analytics engineers. Monitor your dbt project and data in minutes, and be the first to know of data issues. Gain immediate visibility, detect data issues, send actionable alerts, and understand the impact and root cause. Generate a data observability report, host it or share with your team. Monitoring of data quality metrics, freshness, volume and schema changes, including anomaly detection.
