Open Source Go Software for ChromeOS
Sort By:
Go Software for ChromeOS
Browse free open source Go Software for ChromeOS and projects below. Use the toggles on the left to filter open source Go Software for ChromeOS by OS, license, language, programming language, and project status.
-
Monitor your whole IT InfrastructureCaters to tech staff, system Administrators, and companies of any size, from small and medium sized businesses to enterprises that need their IT network to be reliable and easy to monitor in real-time. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine. PRTG optimizes connections and workloads as well as reducing operational costs by avoiding outages while saving time and controlling service level agreements (SLAs).
-
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
1
BricksLLM
Enterprise-grade API gateway that helps you monitor and impose cost
BricksLLM is an open-source framework for building and managing production-ready LLM (Large Language Model) applications. It provides tooling for prompt engineering, memory management, observability, and chaining, all in one unified developer experience. BricksLLM is designed to reduce boilerplate and increase the maintainability of LLM-based workflows. -
2
SwiftShader
SwiftShader is a high-performance CPU-based implementation
SwiftShader is Google’s high-performance CPU-based implementation of the Vulkan 1.3 graphics API, designed to provide a hardware-independent rendering solution for 3D graphics. Unlike traditional GPU drivers, SwiftShader executes graphics commands entirely on the CPU, making it ideal for environments where dedicated graphics hardware is unavailable or unsuitable. It acts as a drop-in replacement for Vulkan drivers, allowing existing applications to run seamlessly by redirecting API calls through its software-based rendering engine. The project supports Windows, Linux, macOS, Android, and ChromeOS, offering broad cross-platform compatibility. SwiftShader’s design emphasizes both performance and compliance, enabling robust software rendering for testing, virtualization, and cloud-based graphics workloads. -
3
Ligolo-ng
An advanced, yet simple, tunneling/pivoting tool
Ligolo-ng is a simple, lightweight and fast tool that allows pentesters to establish tunnels from a reverse TCP/TLS connection using a tun interface (without the need of SOCKS). When running the relay/proxy server, a tun interface is used, packets sent to this interface are translated and then transmitted to the agent's remote network. You need to download the Wintun driver (used by WireGuard) and place the wintun.dll in the same folder as Ligolo. You can listen to ports on the agent and redirect connections to your control/proxy server. You can easily hit more than 100 Mbits/sec. Here is a test using iperf from a 200Mbits/s server to a 200Mbits/s connection. -
4
Grafana
Leading open-source visualization and observability platform
Grafana Open Source is a leading open-source visualization and observability platform that lets you query, visualize, alert on, and explore your data—regardless of where it’s stored. With support for 100+ data source plugins (such as Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, OpenTelemetry, and more), you can unify metrics, logs, traces, and other observability signals in one place. Grafana OSS empowers you to build dynamic, reusable dashboards with rich visualizations, template variables, interactive filtering, and cross-panel linking. Its Explore mode enables ad-hoc queries and side-by-side comparisons of time ranges, queries, and data sources. Grafana also includes built-in alerting, allowing you to define threshold-based rules and send notifications to external systems (e.g. Slack, PagerDuty, OpsGenie). Backed by a strong community and open governance, Grafana OSS is free to use, modify, and deploy under the AGPL-3.0 license. -
Turn speech into text using Google AINew customers get $300 in free credits to spend on Speech-to-Text. All customers get 60 minutes for transcribing and analyzing audio free per month, not charged against your credits.
-
5
Sliver
Adversary Emulation Framework
Sliver is an open source cross-platform adversary emulation/red team framework, it can be used by organizations of all sizes to perform security testing. Sliver's implants support C2 over Mutual TLS (mTLS), WireGuard, HTTP(S), and DNS and are dynamically compiled with per-binary asymmetric encryption keys. The server and client support MacOS, Windows, and Linux. Implants are supported on MacOS, Windows, and Linux (and possibly every Golang compiler target but we've not tested them all). -
6
sqlc SQL Compiler
Generate type-safe code from SQL
sqlc generates type-safe code from SQL. You write queries in SQL. You run sqlc to generate code with type-safe interfaces to those queries. You write application code that calls the generated code. -
7
emp3r0r
Linux/Windows post-exploitation framework made by linux user
A post-exploitation framework for Linux/Windows. Initially, emp3r0r was developed as one of my weaponizing experiments. It was a learning process for me trying to implement common Linux adversary techniques and some of my original ideas. So, what makes emp3r0r different? First of all, it is the first C2 framework that targets Linux platform including the capability of using any other tools through it. Take a look at the features for more valid reasons to use it. -
8
Go QueryString
go-querystring is Go library for encoding structs into URL query
go-querystring is a lightweight Go library developed by Google for encoding Go structs into URL query strings. It simplifies the process of constructing URLs with typed parameters, offering a clean, type-safe approach to building query strings programmatically. The library’s query package exposes a single Values() function that converts struct fields (tagged with url tags) into properly encoded query parameters. It is particularly useful for APIs or HTTP clients that represent query parameters as structs—such as in the go-github client library. Each struct field can be annotated with a url:"name" tag to specify the query key. The encoder supports standard Go data types (strings, numbers, booleans, slices, etc.) and handles formatting and escaping automatically. -
9
Neosync
Open Source Data Security Platform for Developers to Monitor
Neosync is a secure, open-source platform to generate, mask, and sync realistic test data across environments. It helps engineering teams create privacy-compliant datasets using synthetic data, transformations, and pseudonymization techniques. Designed with extensibility and data governance in mind, Neosync integrates with common databases and cloud services, enabling safe test environments for development and QA. -
OpManager the network monitoring software used by over 1 million IT adminsManageEngine OpManager is a powerful network monitoring software that provides deep visibility into the performance of your routers, switches, firewalls, load balancers, wireless LAN controllers, servers, VMs, printers, and storage devices. It is an easy-to-use and affordable network monitoring solution that allows you to drill down to the root cause of an issue and eliminate it.
-
10
Nitric
Nitric is a multi-language framework for cloud applications
Nitric is a multi-language framework, with concise inline infrastructure from code. Modern applications should be robust, productive and a joy to build. Nitric solves common problems building for modern platforms. -
11
Go Jsonnet
This an implementation of Jsonnet in pure Go
go-jsonnet is a pure Go implementation of the Jsonnet data templating language, which extends JSON with variables, functions, imports, and a standard library so you can generate complex configuration safely. Instead of hand-maintaining massive JSON files, you write concise, reusable templates that evaluate to JSON or YAML, with deterministic semantics and rich error messages. The repository ships both an embeddable VM for Go programs and a command-line interpreter, making it easy to integrate templating into build systems, CLIs, and services. Import paths and custom resolvers let you structure large configuration trees across directories or remote sources, while top-level arguments and external variables parameterize builds per environment. Native functions can be registered from Go to expose domain-specific helpers without forking the language. Tooling such as a formatter and linter-friendly errors encourages clean, consistent templates that scale across teams. -
12
Key Transparency
A transparent and secure way to look up public keys
Key Transparency is a system for accountable public-key discovery that lets users and senders verify the keys associated with an account over time. It combines an append-only log with a verifiable map so changes to a user’s keys produce cryptographic proofs, enabling clients to detect malicious insertions or undetected key rotations. The architecture separates operators from verifiers: even if the service is compromised, independent clients can audit inclusion and consistency proofs to maintain trust. APIs and reference components demonstrate how account lookup, update, and auditing flows fit together for messaging or identity systems. By making key state globally visible and tamper-evident, the project reduces the need to blindly trust a single directory operator. It serves as a blueprint for building end-to-end encryption ecosystems that remain transparent and accountable at Internet scale. -
13
Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern data-intensive applications. Unlike SQL, Mangle’s declarative syntax naturally supports recursion and modular program structure, making it suitable for representing hierarchical or interconnected datasets like dependency graphs or knowledge graphs. The project’s implementation is provided as a Go library, enabling developers to embed Mangle directly into their applications or services, such as database-like gRPC systems.
-
14
Go Safe Web
Secure-by-default HTTP servers in Go
go-safeweb is a security-focused HTTP framework for Go that bakes in secure defaults so common web vulnerabilities are harder to introduce. Instead of leaving headers and policies to ad-hoc middleware, it sets Content Security Policy, X-Frame-Options, and other protections by default, and centralizes template escaping rules. Request handling emphasizes principled APIs for parsing and validating input, reducing the risk of injection and deserialization bugs. The framework’s routing and response layers are designed to be explicit and auditable, making it clearer when unsafe behaviors are being opted into. It also offers utilities for CSRF protection, secure cookies, and safe resource embedding that work well with Go’s standard library. By turning security posture into a first-class concern, go-safeweb helps teams achieve defense-in-depth without scattering security logic across a codebase. -
15
Log4jScanner
A log4j vulnerability filesystem scanner and Go package
log4jscanner is a filesystem scanner and Go package that helps organizations quickly identify vulnerable Log4j components inside JARs and shaded dependencies. Instead of probing networks, it walks directories and archives, including nested JARs, to find version fingerprints and risky classes associated with the Log4Shell family of issues. The focus on static analysis makes it suitable for container images, build artifacts, and offline systems where active scanning isn’t feasible. Clear, machine-readable output allows the tool to plug into CI/CD checks and fleet-wide inventory jobs. For responders, it reduces time-to-visibility by surfacing exactly which paths and bundles require patching or remediation. It’s a pragmatic addition to defense-in-depth programs that need verifiable evidence of exposure without deploying agents. -
16
Periph
Peripherals I/O in Go
periph is a Go library that unifies hardware I/O on single-board computers and embedded Linux devices, exposing clean interfaces for GPIO, I²C, SPI, UART, PWM, and more. Its philosophy is “no daemon, no codegen”—you link a Go package and speak directly to the hardware via stable abstractions, keeping deployments simple and auditable. The project auto-detects host capabilities at runtime and selects the best driver backend, smoothing over kernel and board differences across Raspberry Pi, BeagleBone, and other platforms. A large set of device drivers (sensors, displays, LED controllers, storage, RTCs) give you batteries-included building blocks for prototypes and production systems. Command-line tools like periph-info help verify wiring, enumerate buses, and inspect capabilities before you ship. The API favors composability and testability, so you can mock buses and pins and keep logic unit-testable even when targeting real hardware. -
17
Prometheus Operator
Prometheus Operator creates/configures/manages Prometheus clusters
The API, spec, status and other user facing objects may change, but in a backward-compatible way. The Prometheus Operator provides Kubernetes native deployment and management of Prometheus and related monitoring components. The purpose of this project is to simplify and automate the configuration of a Prometheus-based monitoring stack for Kubernetes clusters. Kubernetes Custom Resources: Use Kubernetes custom resources to deploy and manage Prometheus, Alertmanager, and related components. Simplified Deployment Configuration: Configure the fundamentals of Prometheus like versions, persistence, retention policies, and replicas from a native Kubernetes resource. Prometheus Target Configuration: Automatically generate monitoring target configurations based on familiar Kubernetes label queries; no need to learn a Prometheus-specific configuration language. -
18
gofuzz
Fuzz testing for go
gofuzz is a lightweight fuzzing utility for Go that rapidly generates randomized, edge-case-heavy inputs to populate structs, maps, slices, and scalar fields. It’s engineered to make property tests productive by automatically traversing nested types and supplying varied values, including zero values, extremes, and random strings or byte sequences. Because it respects Go’s type system, it can generate valid shapes for complex generic or composite types with very little setup. Users can register custom functions to influence how certain fields are constructed, which is useful for domains with strict invariants. The library’s determinism controls allow reproducible failures while still offering diverse coverage across runs. Teams reach for gofuzz to smoke out serialization bugs, panics in equality or hashing, and brittle assumptions in business logic. -
19
BTree implementation for Go
BTree provides a simple, ordered, in-memory data structure for Go
This package is a high-performance, in-memory B-tree for Go that implements an ordered set/map with efficient insert, delete, and range iteration. It’s parameterized by tree degree so callers can tune cache behavior and memory overhead for their workload. Instead of relying on Go’s built-in maps—which are hash-based and unordered—btree preserves sorted order and provides rich traversal APIs like ascending, descending, and range scans. The implementation favors minimal allocations and locality, making it attractive for indexing, query engines, and caches that need predictable iteration costs. A simple Item interface with a Less method defines ordering, keeping the API small and flexible for custom types. The library includes benchmarks and optional freelists so users can trade memory reuse for speed in hot paths. -
20
Bifrost
The Fastest LLM Gateway with built in OTel observability
Bifrost is an LLM gateway designed to provide a unified OpenAI-compatible API front for many different model providers. It abstracts away the complexity of working directly with multiple backend providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, etc.), enabling you to plug in providers and switch between them without touching your client code. It is built to be high performance: in benchmark tests at 5,000 requests per second, it reportedly adds only microseconds of overhead and achieves perfect success rates with no failed requests. Bifrost supports features such as automatic fallback (failover between providers), load balancing across API keys/providers, and semantic caching to reduce latency and cost. It also includes observability with built-in metrics, tracing, logging, and supports governance features like rate limiting, access control, and cost budgeting. The architecture is modular: there is a core engine, plugin layers, and transport layers (HTTP APIs). -
21
CRFS
CRFS: Container Registry Filesystem
CRFS is a user-space filesystem that mounts container images directly from remote registries, exposing them as ordinary directories without a full “pull” step. Instead of downloading entire layers upfront, it fetches file ranges on demand and maintains a content-addressed cache, yielding fast startup and lower bandwidth for large images. The system speaks registry protocols and understands layered image formats, resolving whiteouts and overlays so the mounted view matches what a container runtime would see. A FUSE (or platform-equivalent) frontend makes it trivial to integrate with existing tools: compilers, test runners, or debuggers can read files as if they were local. This lazy, verified access pattern is especially valuable in CI and developer workflows where you inspect or compile a few files from a massive base image. By treating registries as a read-only filesystem, CRFS turns image artifacts into first-class, quickly accessible build inputs. -
22
FrankenPHP
The modern PHP app server
FrankenPHP is a modern application server for PHP built on top of the Caddy web server. FrankenPHP gives superpowers to your PHP apps thanks to its stunning features: Early Hints, worker mode, real-time capabilities, automatic HTTPS, HTTP/2, and HTTP/3 support. FrankenPHP works with any PHP app and makes your Laravel and Symfony projects faster than ever thanks to their official integrations with the worker mode. FrankenPHP can also be used as a standalone Go library to embed PHP in any app. -
23
JSONAPI
jsonapi.org style payload serializer and deserializer
jsonapi provides helpers and reference code for working with the JSON:API specification, focusing on predictable serialization, deserialization, and linkage of related resources. It enforces the spec’s conventions—data, attributes, relationships, included—so clients and servers exchange data in a consistent, cacheable way. By centralizing how resource identifiers, links, and pagination metadata are emitted, it reduces subtle incompatibilities between services. The library favors explicit schemas and type-safe bindings where possible, which helps large teams avoid drift in field names and relationship structures. It also offers utilities for sparse fieldsets and compound documents, minimizing payload size while keeping related entities synchronized. With consistent error objects and status mapping, it makes API error handling uniform across clients. -
24
Pipeline Examples
A collection of examples, tips and tricks and snippets of scripting
This repository collects a variety of example Jenkins Pipeline scripts, tips, snippets, and patterns for both the declarative and scripted pipeline syntaxes. It includes examples for global shared libraries, Jenkinsfile variations, and usage of plugins, to help users adopt pipelines in their Jenkins automation workflows. Examples of plugin integrations (e.g. artifact upload, workspace management). Tips & tricks for script construction and structure. Pipeline patterns and best practices. -
25
Starlark in Go
Starlark in Go: the Starlark configuration language, implemented in Go
starlark-go is the official Go implementation of the Starlark programming language, a Python-like, dynamically typed configuration and scripting language originally developed for the Bazel build system. Starlark combines Python’s expressiveness and readability with deterministic execution, making it ideal for defining build configurations, scripting automation, and embedding domain-specific logic in applications. The Go-based interpreter allows developers to run or embed Starlark programs directly within Go applications, extending them with user-defined scripts and configurable logic. Unlike Python, Starlark supports parallel execution across multiple threads and maintains deterministic behavior, making it suitable for scalable and reproducible workloads. It offers familiar syntax features such as dictionaries, lists, and first-class functions with lexical scoping.