Open-source alternatives to Flamegraph

Tinymist is a comprehensive suite of tools for Typst document authoring, serving as a language server, document compiler, and project manager. It provides a standardized language service via the Language Server Protocol to enable editor features such as autocompletion, navigation, and semantic highlighting. The project distinguishes itself by integrating a TCP-based live preview server for real-time visual rendering and an advanced static analysis tool that utilizes abstract syntax trees and bidirectional type checking. It also includes a project management system capable of handling multi-fi

Unovis is a modular SVG and Canvas data visualization library used to build interactive charts, maps, and network graphs. It provides a framework-agnostic set of primitives for creating data dashboards and specialized visualizations. The library is distinguished by its dedicated toolkits for different visualization domains, including an XY charting library for coordinated plots, a network graph framework for relational data, and a geospatial visualization toolkit for TopoJSON-based mapping. Its capability surface covers a wide range of data representations, including linear, area, and bar ch

Joint is a JavaScript library for building interactive visual diagrams and flowcharts using Scalable Vector Graphics. It provides a programmable environment for creating an interactive SVG canvas with integrated support for zooming, panning, and touch gesture controls. The framework includes a component system for defining custom shapes and programmatic elements within a vector-based coordinate system. It features a JSON-based diagram serializer for saving and loading diagram states, as well as automated layout algorithms and relationship mapping to render nodes and edges. The library covers

This project is a scientific visualization guide and data visualization framework designed for creating high-quality 2D and 3D figures for academic journals and scientific publishing. It provides a structured approach to designing precise layouts, coordinate systems, and typography for complex scientific data. The project features a specialized print-ready PDF workflow and a CMYK print production workflow. These systems translate digital RGB colors into printer-specific CMYK profiles to ensure visual accuracy for physical hardcover and softcover printing. It also serves as a guide for SVG dat

Peity is a lightweight SVG data visualization library that transforms numeric text content and HTML attributes into small pie, donut, bar, and line charts. It functions as an attribute-driven renderer and a progressive enhancement tool, adding vector graphics to web pages by reading data directly from the DOM without requiring heavy JavaScript frameworks. The library supports custom drawing functions and dynamic color assignments, allowing for the registration of new chart types and the use of custom functions to determine segment colors. Its capability surface covers the rendering of mini d

This project is a fitness activity dashboard and data pipeline that aggregates running statistics and routes from external sports platforms into a personal visual summary. It includes a fitness data migration tool for consolidating records between different sports services and local storage, alongside a data importer for processing GPX, TCX, and FIT files. The system features an automated activity sync pipeline that periodically fetches fitness data and redeploys a static dashboard to a hosting platform. It also provides a keyboard-driven terminal user interface for filtering and viewing runn

The OpenTelemetry .NET SDK is a set of libraries used to generate and export traces, metrics, and logs from .NET applications. It functions as an application performance monitoring tool and a distributed tracing implementation, providing the necessary infrastructure to capture system metrics and request paths across microservices. The project includes a zero-code instrumentation library that automatically captures telemetry from popular .NET frameworks without requiring manual changes to source code. It uses a provider-based API abstraction to decouple instrumentation from specific backend im

Britecharts is an SVG data visualization toolkit and D3.js charting library. It functions as a composable visualization framework and interactive charting interface used to render data-driven graphics. The library provides a variety of chart types, including line, bar, scatter, donut, sparkline, step, and bullet charts, as well as stacked area and grouped bar charts. It supports interactive elements such as brush interfaces for zooming into date ranges and informational tooltips for data overlays. The framework includes capabilities for visual configuration, such as axis scaling, color schem

This is a grammar of graphics visualization library used to build charts by mapping tabular data to visual marks. It functions as an SVG data visualization tool and an exploratory data analysis API, allowing users to render complex visualizations and geographic maps. The library features a GeoJSON map renderer that projects spherical coordinates into two-dimensional pixel space and an Apache Arrow visualization interface for high-efficiency data processing. Its capability surface covers data transformation through binning and grouping, visual encoding via automatic scale inference and color

react-vis is a declarative, component-based React data visualization library. It provides a framework of reusable building blocks for rendering interactive charts and graphs by mapping raw data to visual attributes such as position, color, and size. The system leverages D3 for its scaling and layout logic. The library is distinguished by its ability to handle complex data relationships, including hierarchical data via tree maps and circle packing, as well as multidimensional analysis using parallel axes and radar charts. It also supports network flow mapping to illustrate the volume and direc

This project is a client-side data visualization tool and vector graphics generator that transforms tabular data into customizable SVG graphics. It functions as a browser-based visualization engine that processes datasets locally, ensuring that sensitive information is not transmitted to a server. The platform utilizes a modular layout engine to render diverse chart types, including hierarchical and temporal visualizations. It supports the definition and integration of custom layout extensions to expand the variety of available visualization types. The system provides capabilities for import

MakerSkillTree is an educational roadmap designer and interactive skill map visualizer. It provides a system for creating, exporting, and navigating structured learning paths through an SVG skill tree generator and a corresponding YAML learning path schema. The project features a drag-and-drop interface for designing custom skill trees and a bidirectional conversion system that translates visual layouts between SVG and YAML formats. This allows for data-driven version tracking and the generation of changelogs between different iterations of a skill tree. The system supports the visualization

This project is an application performance monitoring tool and JVM metrics library designed to measure workload behavior and export performance data to external monitoring databases. It serves as an instrumentation toolkit for tracking resource usage and internal runtime behavior within a Java execution environment. The system focuses on application performance measurement and JVM application monitoring, specifically tracking system health and runtime resource analysis to identify bottlenecks and stability issues. It provides a mechanism for external metrics export, sending captured data to t

This project is an SVG data visualization library and charting engine designed to render quantitative metrics and time-series data within a web browser. It provides a framework for creating concise visual representations of numerical data sets, such as line charts, scatterplots, and histograms. The library utilizes a component-based layout framework to organize visual elements into hierarchical structures with automated spacing and positioning. It includes a coordinate-space mapping tool that translates raw data values into pixel coordinates using linear scales and axis transformations. The

Cat is a distributed application performance monitoring tool and tracing framework designed to track transactions, latency, and health across distributed services. It functions as a Kubernetes-native monitoring stack that utilizes multi-language monitoring clients and a real-time alerting system to maintain system visibility. The system provides monitoring clients for Java, Go, Python, Node.js, and C++ to collect performance metrics and trace data. It distinguishes itself by sampling request flows to record call chains and identify bottlenecks, while using a monitoring engine to trigger immed

d3-cloud is a JavaScript library for creating non-overlapping word cloud layouts using the D3.js data visualization framework. It serves as a text visualization tool that converts raw text or CSV data into scalable vector graphics and stylized typographic clouds. The library utilizes a spiral-based collision layout algorithm to compute coordinates and rotations, ensuring that words within a visual cluster do not overlap. It maps word frequency to font size and supports a customized layout process where positions are calculated based on text distribution. The system covers data processing for

GitHub Trends is a tool that generates embeddable SVG cards displaying live code contribution statistics from GitHub activity. It focuses on visualizing lines of code written per programming language, per repository, and over specified time periods, designed for inclusion in GitHub profile readmes. The project provides a range of SVG card types, including language breakdown cards that show a user's top programming languages by lines of code committed, repository activity cards that rank repositories by contribution volume, and time-based contribution cards that display code written over a cho

DeepOps is a full-stack observability platform and application performance monitoring tool. It serves as a distributed service observability suite designed to track response times, resource usage, and service health across diverse infrastructure layers. The platform functions as a cross-stack telemetry aggregator, unifying metrics and logs into a single data stream. It incorporates a heuristic anomaly detection system that analyzes performance baselines to identify statistical outliers and predict operational failures. The system covers a broad range of monitoring capabilities, including rea

This project is a JavaScript error tracking SDK and application performance monitoring tool. It captures runtime exceptions and crashes across web browsers, server-side environments, and edge computing contexts. The SDK includes a session replay tool that records visual user interactions to reproduce bugs. To ensure telemetry delivery, it provides a tunneling proxy that routes monitoring data through custom endpoints to bypass browser-level ad blockers. The toolkit also features a source map processor that translates minified stack traces back into original source code. Additionally, it cove

Highcharts is a JavaScript charting library and interactive data visualization framework used to render complex datasets as visual charts and maps. It functions as a customizable SVG charting engine that produces scalable vector graphics for data series. The library allows for the creation of interactive data visualizations with configurable colors, labels, and themes. It also provides a cross-platform visualization wrapper to embed these web-based charts into native iOS and Android mobile applications. The toolkit supports the development of custom dashboards and provides options to build c

Pinpoint is a distributed application performance monitoring and tracing system. It functions as an application performance monitor and topology visualizer designed to analyze the execution behavior of large-scale distributed applications. The system uses bytecode instrumentation to monitor applications without requiring changes to the original source code. It captures call stacks and request flows across interconnected services to visualize system dependencies and generate real-time architectural maps of communication patterns. The platform covers a broad range of observability capabilities

SkyWalking is an application performance monitoring system and observability platform designed to collect and analyze metrics, traces, and logs from distributed microservices. It functions as a distributed tracing platform and a telemetry data pipeline that ingests and aggregates observability data from various language agents. The project features an AI-powered anomaly detector that uses machine learning to calculate metric baselines and identify irregular URI patterns. It includes an eBPF performance profiler for diagnosing CPU and network bottlenecks at the kernel level and generates inter

OpenCensus-go is an observability instrumentation library designed to capture and export telemetry data from distributed systems. It functions as a framework for application performance monitoring and distributed request tracing, allowing developers to track system health, latency, and the progression of requests across service boundaries. The project distinguishes itself through a modular architecture that decouples data collection from storage. By utilizing a pluggable exporter interface, it enables the transmission of metrics and trace data to a variety of external monitoring and analysis

dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It functions as a charting library that renders diverse SVG visualizations powered by D3 and integrates natively with Crossfilter to enable coordinated filtering across large datasets. The project is distinguished by its linked-view coordination, where selecting a data range or category in one chart simultaneously updates all other connected views. This allows for dynamic data exploration through dimensional chart linking and coordinated brushing, transforming raw datasets into na

This library provides a toolkit for instrumenting Go applications with performance metrics, enabling the tracking of counters, gauges, and timers. It serves as a foundational framework for recording application behavior and resource usage, offering thread-safe primitives to manage the lifecycle of these instruments within a central registry. The system distinguishes itself through a high-performance design that utilizes atomic operations to track event frequencies, avoiding the overhead of mutex locks during execution. It employs snapshot-based sampling to capture point-in-time data, ensuring

ToolsOfTheTrade is a comprehensive, curated directory designed to help developers and operational teams discover software services for a wide range of technical and business requirements. It functions as a centralized resource catalog, indexing tools that support the entire software development lifecycle, infrastructure management, and organizational productivity. The project distinguishes itself by providing a structured index of both hosted and self-hosted solutions, enabling users to identify specific utilities for tasks ranging from continuous integration and project planning to applicati

Pyroscope is a continuous profiling platform designed to collect, store, and visualize application performance data. It functions as an application performance management suite that tracks historical resource usage to identify bottlenecks and detect performance regressions over time. The platform distinguishes itself through its use of kernel-level instrumentation and dynamic runtime hooks, which allow for performance monitoring without requiring manual code modifications or application restarts. It employs a sidecar agent architecture to offload telemetry processing, utilizing delta-encoded