Open Source Go Business Software
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Go Business Software
View related business solutionsBrowse free open source Go Business Software and projects below. Use the toggles on the left to filter open source Go Business Software by OS, license, language, programming language, and project status.
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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YAO
Yao A low code engine to create web services and dashboard
Yao allows developers to create web services by processes. Yao is a low-code engine that creates a database model, writes API services, and describes dashboard interface just by JSON for web & hardware, no code, and 10x productivity. Yao is based on the flow-based programming idea, developed in the Go language, and supports multiple ways to expand the data stream processor. This makes Yao extremely versatile, which can replace programming languages in most scenarios, and is 10 times more efficient than traditional programming languages in terms of reusability and coding efficiency; application performance and resource ratio Better than PHP, JAVA and other languages. Yao has a built-in data management system. By writing JSON to describe the interface layout, 90% of the common interface interaction functions can be realized. It is especially suitable for quickly making various management backgrounds, CRM, ERP, and other internal enterprise systems. -
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JuiceFS
JuiceFS is a distributed POSIX file system built on top of Redis
A POSIX, HDFS and S3 compatible distributed file system for cloud. JuiceFS is designed to bring back the gold-old memories and experience of file systems in local disks to the cloud. JuiceFS is POSIX compliant and is fully compatible with HDFS and S3. Cloud app building or migrating, file sharing cross-geo and cross-cloud has become easier than ever before. Whether it's a public cloud, private cloud, or hybrid cloud, JuiceFS is available on any cloud of your choice and delivers flexibility, availability, scalability and strong consistency for your data-intensive applications. Purposely built to serve big data scenarios such as self-driving model training, recommendation engine, and Next-generation Gene Sequencing, JuiceFS specializes in high performance and easier management of tens of billion of files management. We bring JuiceFS to developers with the hope that it will be easy to use, reliable, high-performance, and solve all your file storage problems in a cloud environment. -
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Benthos
Fancy stream processing made operationally mundane
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes and acknowledges messages using an in-process transaction model with no need for any disk persisted state, so when connecting to at-least-once sources and sinks it's able to guarantee at-least-once delivery even in the event of crashes, disk corruption, or other unexpected server faults. This behaviour is the default and free of caveats, which also makes deploying and scaling Benthos much simpler. -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. Its extensible plugin ecosystem integrates with cloud platforms, databases, and developer tools—allowing teams to build observability workflows without vendor lock-in. The easiest way to get started with Grafana is with Grafana Cloud, our fully managed, full-stack observability platform. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Caddy
Powerful, enterprise-ready, open source web server w/ automatic HTTPS
Caddy is a powerful, extensible, enterprise-ready server platform that uses TLS by default. Everything you would require in your infrastructure, from TLS certificate renewals and OCSP stapling, to reverse proxying and ingress, Caddy simplifies it all. Its modular architecture lets you do more with just a single static binary that compiles for any platform. Caddy is the only web server that uses HTTPS automatically and by default. It automatically renews TLS certificates, staples OCSP responses and more. Though used mostly as an HTTPS server, Caddy can be used to run Go applications, offering automated documentation, graceful on-line config changes via API and more to these apps. Caddy is very extensible, with a powerful plugin system unlike any other web server. -
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Distributed Transactions Manager
A distributed transaction framework that supports multiple languages
Support HTTP and GRPC, provide easy-to-use interfaces, lower substantially the barrier of getting started with distributed transactions, and newcomers can adapt quickly. Developers no longer worry about suspension, null compensation, idempotent transaction, and other tricky problems, the framework layer handles them all. Suitable for companies with the multi-language stack. Easy for go, python, php, nodejs, ruby and so forth. The only external dependence is the database server, easy to deploy, cluster, and scale horizontally. Supports TCC, SAGA, XA, and transaction messages. DTM is a distributed transaction framework that provides cross-service eventual data consistency. It provides saga, tcc, xa, 2-phase message, and outbox patterns for a variety of application scenarios. It also supports multiple languages and multiple store engines to form up a transaction. -
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Vikunja
The to-do app to organize your life
Vikunja is a modern to-do list and personal organization platform designed to help individuals and teams keep track of tasks, projects, and life goals in one place with intention and simplicity. It’s a self-hosted, open-source app with a backend API and frontend clients that let you create tasks, organize them into lists or projects, set due dates and priorities, and collaborate with teammates or family members. Unlike many simplistic check-off lists, Vikunja provides options for nested tasks, recurring activities, and board views that give you flexibility in how you structure work or personal goals. Because it’s self-hosted and open, you retain full control over your data and can integrate it with other tools or automation workflows as needed, whether for personal productivity or shared planning. -
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Glance
A self-hosted dashboard that puts all your feeds in one place
Glance is a self-hosted dashboard designed to consolidate various feeds and data into one place for easy monitoring. It supports multiple types of widgets such as RSS feeds, subreddit posts, weather forecasts, server stats, market prices, and more. The dashboard is lightweight and fast, optimized for both desktop and mobile usage, with a high degree of customization available through YAML configuration files and theme support. -
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Beads Viewer
Task management system for coding agents
Beads Viewer is a visualization tool designed to display, inspect, and interact with “bead plots,” graphical representations often used in statistical analysis, time series exploration, or clustering visualizations where data points are represented as beads on strands or axes to emphasize patterns and relationships. The viewer provides an intuitive graphical interface that automatically renders bead plots from structured data inputs, enabling users to observe trends at a glance, highlight clusters, or drill down into individual sequences. It supports dynamic interactions such as zooming, filtering by criteria, selecting subgroups, and exporting views for reports or slides. Because bead plots can encode a significant amount of information in compact visuals, Beads Viewer includes customizable styling options — such as coloring by category, adjusting bead size and spacing, and toggling axis representations — to help tailor visuals to specific analytical needs. -
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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Cadence
Orchestration engine to execute asynchronous business logic
Focus on your business logic and let Cadence take care of the complexity of distributed systems. Workflows provide primitives to allow application developers to express complex business logic as code. The underlying platform abstracts scalability, reliability and availability concerns from individual developers/teams. Cadence enables writing stateful applications without worrying about the complexity of handling process failures. Cadence preserves complete multithreaded application state including thread stacks with local variables across hardware and software failures. Cadence is designed to scale out horizontally to handle millions of concurrent workflows. Cadence provides out-of-the-box asynchronous history event replication that can help you recover from zone failures. -
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Portainer.io
Making Docker and Kubernetes management easy
Portainer Community Edition is a lightweight service delivery platform for containerized applications that can be used to manage Docker, Swarm, Kubernetes and ACI environments. It is designed to be as simple to deploy as it is to use. The application allows you to manage all your orchestrator resources (containers, images, volumes, networks and more) through a ‘smart’ GUI and/or an extensive API. Portainer consists of a single container that can run on any cluster. It can be deployed as a Linux container or a Windows native container. Portainer Business Edition builds on the open-source base and includes a range of advanced features and functions (like RBAC and Support) that are specific to the needs of business users. Portainer CE is an open source project and is supported by the community. You can buy a supported version of Portainer at portainer.io. -
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beszel
Lightweight server monitoring hub with historical data, docker stats
A lightweight server resource monitoring hub with historical data, docker stats, and alerts. -
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Fluid
Fluid, elastic data abstraction and acceleration for BigData/AI apps
Fluid, elastic data abstraction and acceleration for BigData/AI applications in the cloud. Provide DataSet abstraction for underlying heterogeneous data sources with multidimensional management in a cloud environment. Enable dataset warmup and acceleration for data-intensive applications by using a distributed cache in Kubernetes with observability, portability, and scalability. Taking characteristics of application and data into consideration for cloud application/dataset scheduling to improve the performance. -
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Terraform Provider for Azure
Terraform provider for Azure Resource Manager
The AzureRM Terraform Provider allows managing resources within Azure Resource Manager. When using version 3.0 of the AzureRM Provider we recommend using Terraform 1.x. Whilst older versions of Terraform Core (0.12.x and later) remain compatible with v3.0 of the AzureRM Provider. The Azure Provider can be used to configure infrastructure in Microsoft Azure using the Azure Resource Manager API's. We recommend using either a Service Principal or Managed Service Identity when running Terraform non-interactively (such as when running Terraform in a CI server) - and authenticating using the Azure CLI when running Terraform locally. -
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Karpor
World's most promising Kubernetes Visualization Tool
Karpor is Intelligence for Kubernetes. It brings advanced Search, Insight and AI to Kubernetes. It is essentially a Kubernetes Visualization Tool. With Karpor, you can gain crucial visibility into your Kubernetes clusters across any clouds. -
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Conduit
Conduit streams data between data stores. Kafka Connect replacement
Conduit is a data streaming tool written in Go. It aims to provide the best user experience for building and running real-time data pipelines. Conduit comes with batteries included, it provides a UI, common connectors, processors and observability data out of the box. Sync data between your production systems using an extensible, event-first experience with minimal dependencies that fit within your existing workflow. Eliminate the multi-step process you go through today. Just download the binary and start building. Conduit connectors give you the ability to pull and push data to any production datastore you need. If a datastore is missing, the simple SDK allows you to extend Conduit where you need it. Conduit pipelines listen for changes to a database, data warehouse, etc., and allows your data applications to act upon those changes in real-time. Run it in a way that works for you; use it as a standalone service or orchestrate it within your infrastructure. -
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Nuclio
High-Performance Serverless event and data processing platform
Nuclio is an open source and managed serverless platform used to minimize development and maintenance overhead and automate the deployment of data-science-based applications. Real-time performance running up to 400,000 function invocations per second. Portable across low laptops, edge, on-prem and multi-cloud deployments. The first serverless platform supporting GPUs for optimized utilization and sharing. Automated deployment to production in a few clicks from Jupyter notebook. Deploy one of the example serverless functions or write your own. The dashboard, when running outside an orchestration platform (e.g. Kubernetes or Swarm), will simply be deployed to the local docker daemon. The Getting Started With Nuclio On Kubernetes guide has a complete step-by-step guide to using Nuclio serverless functions over Kubernetes. -
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gh-dash
A beautiful CLI dashboard for GitHub
A GitHub (gh) CLI extension to display a dashboard with pull requests and issues by filters you care about. Write multiple configuration files to easily switch between completely different dashboards. Repo name-to-path mappings can be an exact match (full name, full path) or wildcard matched using the owner and partial path. To override the default set of terminal colors and instead create your own color scheme, you can define one in your config.yml file. If you choose to go this route, you need to specify all of the following keys as colors in hex format (#RRGGBB), otherwise, validation will fail. You can customize each section's layout as well as the global layout. -
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Gardener
Kubernetes-native system managing the full lifecycle of Kubernetes
Kubernetes-native system managing the full lifecycle of conformant Kubernetes clusters as a service on Alicloud, AWS, Azure, GCP, OpenStack, EquinixMetal, vSphere, MetalStack, and Kubevirt with minimal TCO. Kubernetes is a cloud-native enabler built around the principles of a resilient, manageable, observable, highly automated, loosely coupled system. Gardener is a standard Kubernetes extension and adheres to the same concepts by design. 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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Finala
Finala is an open-source resource cloud scanner
Finala is an open-source cloud resource scanner that detects and reports on unused or wasteful cloud assets, helping organizations reduce unnecessary expenses and optimize their infrastructure footprint by continuously analyzing deployed resources against user-defined rules. It scans cloud environments, identifies idle or underutilized machines, unattached storage, or resources not aligned with utilization policies, and presents actionable insights that help teams reclaim budget and compliance. Users define scanning criteria and thresholds in configuration files to tailor detection to their operational needs, making Finala flexible across different organizational scales and cloud setups. The tool then outputs reports and notifications about inefficient resources, enabling cost-conscious engineering teams to make informed decisions about shutting down or rightsizing assets. Because it’s self-hosted and rule-based, Finala can be integrated into CI/CD and monitoring workflows. -
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Milvus
Vector database for scalable similarity search and AI applications
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion vector datasets. Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. Embed real-time search and analytics into virtually any application. Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. Component-level scalability makes it possible to scale up and down on demand. -
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lakeFS
lakeFS - Git-like capabilities for your object storage
Increase data quality and reduce the painful cost of errors. Data engineering best practices using git-like operations on data. lakeFS is an open-source data version control for data lakes. It enables zero-copy Dev / Test isolated environments, continuous quality validation, atomic rollback on bad data, reproducibility, and more. Data is dynamic, it changes over time. Dealing with that without a data version control system is error-prone and labor-intensive. With lakeFS, your data lake is version controlled and you can easily time-travel between consistent snapshots of the lake. Easier ETL testing - test your ETLs on top of production data, in isolation, without copying anything. Safely experiment and test on full production data. Easily Collaborate on production data with your team. Automate data quality checks within data pipelines. -
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Apache DevLake
Apache DevLake is an open-source dev data platform
Apache DevLake is an open-source dev data platform that ingests, analyzes, and visualizes the fragmented data from DevOps tools to extract insights for engineering excellence, developer experience, and community growth. Apache DevLake is designed for developer teams looking to make better sense of their development process and to bring a more data-driven approach to their own practices. You can ask Apache DevLake many questions regarding your development process. Just connect and query. Your Dev Data lives in many silos and tools. DevLake brings them all together to give you a complete view of your Software Development Life Cycle (SDLC). From DORA to scrum retros, DevLake implements metrics effortlessly with prebuilt dashboards supporting common frameworks and goals. DevLake fits teams of all shapes and sizes, and can be readily extended to support new data sources, metrics, and dashboards, with a flexible framework for data collection and transformation. -
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Arcane
Modern Docker Management, Designed for Everyone
Arcane is a modern, open-source Docker management platform crafted to simplify container orchestration and service operations with an intuitive interface and broad tooling support. Aimed at developers, sysadmins, and self-hosters alike, Arcane combines both graphical and command-line experiences for discovering, launching, and managing containers, images, networks, and volumes across local and remote environments. It emphasizes usability and accessibility, making it less intimidating than traditional tools like Portainer while still powerful enough for real-world usage, including logs, metrics, and console access for individual containers. The project integrates frontend and backend components that work together to provide a cohesive environment management experience, often packaged to run alongside Docker and Docker Compose setups with minimal configuration. -
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Framed
Effortless files and directories management
Framed is a Go-based CLI tool that helps developers define and enforce a reusable, architectural file/directory structure using YAML templates. It offers synchronization checks and CI integration to ensure consistency across projects.
