Open Source Go Data Formats Software
Sort By:
Go Data Formats Software
View related business solutionsBrowse free open source Go Data Formats Software and projects below. Use the toggles on the left to filter open source Go Data Formats Software by OS, license, language, programming language, and project status.
-
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
pdfcpu
A PDF processor written in Go
pdfcpu is a PDF processing library written in Go supporting encryption. It provides both an API and a CLI. Supported are all versions up to PDF 1.7 (ISO-32000). This is an effort to build a comprehensive PDF processing library from the ground up written in Go. Over time pdfcpu aims to support the standard range of PDF processing features and also any interesting use cases that may present themselves along the way. The main focus lies on strong support for batch processing and scripting via a rich command line. At the same time pdfcpu wants to make it easy to integrate PDF processing into your Go-based backend system by providing a robust command set. Always make sure your work is based on the latest commit! pdfcpu is still Alpha - bugfixes are committed on the fly and will be mentioned in the next release notes. -
2
dyff
diff tool for YAML files, and sometimes JSON
A diff tool for YAML files, and sometimes JSON. dyff is inspired by the way the old BOSH v1 deployment output reported changes from one version to another by only showing the parts of a YAML file that changed. Similar to the standard diff tool, it follows the principle of describing the change by going from the input file to the target to the input file. Input files can be local files (filesystem path), remote files (URI), or the standard input stream (using -). -
3
Open Policy Agent
An open source, general-purpose policy engine
Policy-based control for cloud-native environments. Flexible, fine-grained control for administrators across the stack. Stop using a different policy language, policy model, and policy API for every product and service you use. Use OPA for a unified toolset and framework for policy across the cloud-native stack. Whether for one service or for all your services, use OPA to decouple policy from the service's code so you can release, analyze, and review policies (which security and compliance teams love) without sacrificing availability or performance. -
4
jwx
Implementation of various JWx (Javascript Object Signing
Go module implementing various JWx (JWA/JWE/JWK/JWS/JWT, otherwise known as JOSE) technologies. If you are using this module in your product or your company, please add your product and/or company name in the Wiki! It really helps keeping up our motivation. Complete coverage of JWA/JWE/JWK/JWS/JWT, not just JWT+minimum tool set. Supports JWS messages with multiple signatures, both compact and JSON serialization. Supports JWS with detached payload. Supports JWS with unencoded payload (RFC7797). Supports JWE messages with multiple recipients, both compact and JSON serialization. Most operations work with either JWK or raw keys e.g. *rsa.PrivateKey, *ecdsa.PrivateKey, etc). Opinionated, but very uniform API. Everything is symmetric, and follows a standard convention. Arguments are organized as explicit required paramters and optional WithXXXX() style options. -
Sales CRM and Pipeline Management Software | PipedrivePipedrive’s simple interface empowers salespeople to streamline workflows and unite sales tasks in one workspace. Unlock instant sales insights with Pipedrive’s visual sales pipeline and fine-tune your strategy with robust reporting features and a personalized AI Sales Assistant.
-
5
Mercure
Server-sent live updates, protocol and reference implementation
Mercure is an open protocol for real-time communications designed to be fast, reliable and battery-efficient. It is a modern and convenient replacement for both the WebSocket API and the higher-level libraries and services relying on it. Mercure is especially useful to add streaming and asynchronous capabilities to REST and GraphQL APIs. Because it is a thin layer on top of HTTP and SSE, Mercure is natively supported by modern web browsers, mobile applications, and IoT devices. A free (as in beer, and as in speech) reference server, as well as a hosted service, are available. Designed for REST and GraphQL. Private updates (JWT authorization). Presence API and subscription events. Event store. Compatible with serverless, PHP, and the like. Supports end-to-end encryption. Reading the documentation is an excellent way to discover Mercure. -
6
XLSX
Go (golang) library for reading and writing XLSX files
xlsx is a library to simplify reading and writing the XML format used by recent version of Microsoft Excel in Go programs. Version 3.0.0 introduces some more breaking changes in the API. All methods that can return an `xlsx.File` struct now accept zero, one or many `xlsx.FileOption` functions as their final arguments. These can be used to modify the behavior of the resultant struct, in particular they replace the `…WithRowLimit` variants of those methods with the result of calling `xlsx.RowLimit` and they add the ability to define a custom backing store for the spreadsheet data to be held in whilst processing. The full API docs can be viewed using go’s built in documentation tool. -
7
dasel
Select, put and delete data from JSON, TOML, YAML, XML and CSV files
Dasel (short for data-selector) allows you to query and modify data structures using selector strings. Say goodbye to learning new tools just to work with a different data format. Dasel uses a standard selector syntax no matter the data format. This means that once you learn how to use dasel you immediately have the ability to query/modify any of the supported data types without any additional tools or effort. Dasel can be imported and used just like any other go package. This can be very useful if you need to manipulate data from your own applications. From then on the rest of the docs and comments should be enough to get you going. Uses a standard query/selector syntax across all data formats. Zero runtime dependencies. Available on Linux, Mac and Windows. Available to import and use in your own projects. Run via Docker. -
8
Apache Dubbo-go
Go Implementation For Apache Dubbo
Apache Dubbo-go, a Dubbo implementation written in Golang, is born to bridge the gap between Java/Dubbo and Go/X. Dubbo-go has supported many RPC protocols, like Triple, Dubbo JSONRPC, gRPC, HTTP, HTTP2. Triple is the supported protocol of Dubbo3 ecology and is a gRPC extended protocol based on HTTP2, which is compatible with the gRPC service. In other words, on the basis of gRPC's reliable invocation, it adds Dubbo's service governance capability. Dubbo protocol is traditional Dubbo ecology protocol, which is capable of Dubbo 2. x, and is a good choice for cross-language invocation between GO and Java old service. The project gives a series of samples that show each feature available for Dubbo-go and help you know how to integrate Dubbo-go with your system. -
9
aconfig
Simple, useful and opinionated config loader
Simple, useful and opinionated config loader. There are many solutions regarding configuration loading in Go. I was looking for a simple loader that is as easy to use and understand as possible. The goal was to load config from 4 places: defaults (in the code), files, environment variables, command-line flags. This library works with all of these sources. -
Crowdtesting That Delivers | TesteumTesteum connects your software, app, or website to a worldwide network of testers, delivering detailed feedback in under 48 hours. Ensure functionality and refine UX on real devices, all at a fraction of traditional costs. Trusted by startups and enterprises alike, our platform streamlines quality assurance with actionable insights. Click to perfect your product now.
-
10
encoding
Go package containing implementations of efficient encoding
Go package containing implementations of encoders and decoders for various data formats. At Segment, we do a lot of marshaling and unmarshaling of data when sending, queuing, or storing messages. The resources we need to provision on the infrastructure are directly related to the type and amount of data that we are processing. At the scale we operate at, the tools we choose to build programs can have a large impact on the efficiency of our systems. It is important to explore alternative approaches when we reach the limits of the code we use. This package has no dependencies outside of the core runtime of Go. It requires a recent version of Go. -
11
json2csv
command line tool to convert json to csv
Converts a stream of newline-separated JSON data to csv format. Pre-built binaries are available under releases. -
12
Gotenberg
A Docker-powered stateless API for PDF files
Gotenberg provides a developer-friendly API to interact with powerful tools like Chromium and LibreOffice for converting numerous document formats (HTML, Markdown, Word, Excel, etc.) into PDF files, and more! Thanks to Docker, you don't have to install each tool in your environments; drop the Docker image in your stack, and you're good to go! The webhook feature allows you to upload the output file to the destination of your choice. There are many options to fit your requirements, from the custom HTTP headers sent to your webhook to the HTTP method used to call it. Gotenberg is a platform composed of modules; each module has properties you may customize to your flavor. Build your own Docker image by adding new tools and create modules that provide new routes to the API. Gotenberg provides a developer-friendly API to interact with powerful tools like Chromium and LibreOffice for converting numerous document formats (HTML, Markdown, Word, Excel, etc.) into PDF files, and more! -
13
HCL
HCL is the HashiCorp configuration language
HCL is a toolkit for creating structured configuration languages that are both human- and machine-friendly, for use with command-line tools. Although intended to be generally useful, it is primarily targeted toward DevOps tools, servers, etc. HCL has both a native syntax, intended to be pleasant to read and write for humans, and a JSON-based variant that is easier for machines to generate and parse. It includes an expression syntax that allows basic inline computation and, with support from the calling application, the use of variables and functions for more dynamic configuration languages. HCL provides a set of constructs that can be used by a calling application to construct a configuration language. The application defines which attribute names and nested block types are expected, and HCL parses the configuration file, verifies that it conforms to the expected structure, and returns high-level objects that the application can use for further processing. -
14
Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the familiar Unix tools operate on integer-indexed fields: if the natural data structure for the latter is the array, then Miller's natural data structure is the insertion-ordered hash map. Miller handles a variety of data formats, including but not limited to the familiar CSV, TSV, and JSON/JSON Lines. (Miller can handle positionally-indexed data too!) -
15
Sonic JSON
A blazingly fast JSON serializing & deserializing library
A blazingly fast JSON serializing & deserializing library, accelerated by JIT (just-in-time compiling) and SIMD (single-instruction-multiple-data). -
16
TEMPL
A language for writing HTML user interfaces in Go
Create components that render fragments of HTML and compose them to create screens, pages, documents, or apps. -
17
gron
Make JSON greppable
Make JSON greppable. gron transforms JSON into discrete assignments to make it easier to grep for what you want and see the absolute 'path' to it. It eases the exploration of APIs that return large blobs of JSON. -
18
jplot
iTerm2 expvar/JSON monitoring tool
Jplot tracks expvar-like (JSON) metrics and plot their evolution over time right into your iTerm2 terminal (or DRCS Sixel Graphics). -
19
sttr
Cross-platform, cli app to perform various operations on string
sttr is command-line software that allows you to quickly run various transformation operations on the string. -
20
Amazon ECS CLI
Run applications on ECS/Fargate using the Docker Composer format
Amazon ECS has released AWS Copilot, a command-line interface (CLI) tool that simplifies building, releasing, and operating production-ready containerized applications on Amazon ECS from a local development environment. The Amazon Elastic Container Service (Amazon ECS) command-line interface (CLI) provides high-level commands to simplify creating, updating, and monitoring clusters and tasks from a local development environment. The Amazon ECS CLI supports Docker Compose files, a popular open-source specification for defining and running multi-container applications. Use the ECS CLI as part of your everyday development and testing cycle as an alternative to the AWS Management Console. The AWS Command Line Interface (AWS CLI) is a unified client for AWS services that provides commands for all public API operations. These commands are lower level than those provided by the Amazon ECS CLI. -
21
ChirpStack Gateway Bridge
ChirpStack Gateway Bridge abstracts Packet Forwarder protocols
ChirpStack Gateway Bridge is a service that converts LoRa® Packet Forwarder protocols into a ChirpStack common data format (JSON and Protobuf). This component is part of the ChirpStack open-source LoRaWAN® Network Server project. -
22
CloverDB
A lightweight document-oriented NoSQL database written in pure Golang
CloverDB is a lightweight NoSQL database designed to be simple and easily maintainable, thanks to its small code base. It has been inspired by tinyDB. CloverDB has been written for being easily maintainable. As such, it trades performance with simplicity and is not intended to be an alternative to more performant databases such as MongoDB or MySQL. However, there are projects where running a separate database server may result overkilled, and, for simple queries, network delay may be the major performance bottleneck. For such scenarios, CloverDB may be a more suitable alternative. Previously, CloverDB relied on the Badger key-value store as a storage layer. However, Badger is not suitable for every scenario (for example, when the database size is a constraint). This is why, the storage layer of CloverDB has been abstracted through a set of interface types to work with any key-value store. At the moment, CloverDB can work with both Badger and Bolt (by default Bolt is used). -
23
DJSON
Fast Go decoder for dynamic JSON
DJSON is a JSON decoder for Go that is 2~ to 3~ times faster than the standard encoding/json and the existing solutions when dealing with arbitrary JSON payload. It is a good approach for people who are using json.Unmarshal together with interface, don't know what the schema is, and still want good performance with minimal changes. DJSON is faster and allocates less memory than the other alternatives. -
24
Go JSON Diff
Go JSON Diff
Go JSON Diff. -
25
Go support for Protocol Buffers
The Go support for Google's protocol buffers
Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data, think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. With our new proto3 language version, you can also work with Dart, Go, Ruby, and C#, with more languages to come. Package proto provides functions operating on protobuf messages such as cloning, merging, and checking equality, as well as binary serialization and text serialization. Package jsonpb serializes protobuf messages as JSON. Package ptypes provides helper functionality for protobuf well-known types.
