Open Source Go JSON Software
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Go JSON Software
View related business solutionsBrowse free open source Go JSON Software and projects below. Use the toggles on the left to filter open source Go JSON Software by OS, license, language, programming language, and project status.
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1
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!) -
2
webrpc
webrpc is a schema-driven approach to writing backend services
webrpc is a schema-driven approach to writing backend servers for the Web. Write your server's API interface in a schema format of RIDL or JSON, and then run webrpc-gen to generate the networking source code for your server and client apps. From the schema, webrpc-gen will generate application-based class types/interfaces, JSON encoders, and networking code. In doing so, it's able to generate fully functioning and typed client libraries to communicate with your server. Enjoy strongly-typed Web services and never have to write an API client library again. -
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Saw
Fast, multi-purpose tool for AWS CloudWatch Logs
saw is a multi-purpose tool for AWS CloudWatch Logs. -
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sq data wrangler
sq data wrangler
sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). You can use sq diff to compare tables, or entire databases. sq has commands for common database operations to copy, truncate, and drop tables. -
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5
Telize
High performance JSON IP and GeoIP REST API (IP Geolocation)
Telize is a REST API built in Go allowing to get a visitor IP address and to query location information from any IP address. It outputs JSON-encoded IP geolocation data, and supports both JSON and JSONP. Geolocation operations are performed using the MaxMind DB Reader for Go which caches the database in RAM. Therefore, Telize has very minimal overhead and should be blazing fast. This service offers a REST API allowing to get a visitor IP address and to query location information from any IP address. It outputs JSON-encoded IP geolocation data, and supports both Cross-origin resource sharing (CORS) and JSONP. -
6
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. -
7
jp
dead simple terminal plots from JSON data. single binary
Dead simple terminal plots from JSON (or CSV) data. Bar charts, line charts, scatter plots, histograms and heatmaps are supported. -
8
jid
json incremental digger
Json Incremental Digger is a very simple tool. You can drill down JSON interactively by using filtering queries like jq. Suggestion and Auto completion of this tool will provide you a very comfortable JSON drill down. Jid can install by package management systems of many OS. If you simply want to use jid command, please download binary. You can dig JSON data incrementally. First argument of jid is initial query. -
9
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. -
Accounting practice management softwareCanopy is a cloud-based practice management software for accounting and tax firms, offering tools for client engagement, document management, workflow automation, and time & billing. Its Client Engagement platform centralizes interactions with a secure portal, customizable branding, and email integration, while the Document Management system enables organized, paperless file storage. The Workflow module enhances visibility into tasks and projects through templates, task assignments, and automation, reducing human error. Additionally, the Time & Billing feature tracks billable hours, generates invoices, and processes payments, ensuring accurate financial management. With its comprehensive features, Canopy streamlines operations, reduces stress, and enhances client experiences.
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10
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 -). -
11
JSON diff and patch
JSON diff and patch
jd is a command line utility and Go library for diffing and patching JSON and YAML values. It supports a native jd format (similar to a unified format) as well as JSON Merge Patch (RFC 7386) and a subset of JSON Patch (RFC 6902). -
12
Murex
A smarter shell and scripting environment with advanced features
Murex is a shell, like bash / zsh / fish / etc however Murex supports improved features and an enhanced UX. Support for additional type information in pipelines, which can be used for complex data formats like JSON or tables. Meaning all of your existing UNIX tools to work more intelligently and without any additional configuration. Usability improvements such as in-line spell checking, context-sensitive hint text that details the behavior of a command before you hit return, and auto-parsing man pages for auto-completions on commands that don't have auto-completions already defined. Smarter handling of errors and debugging tools. For example try/catch blocks, line numbers included in error messages, STDOUT highlighted in red and script testing and debugging frameworks baked into the language itself. -
13
jaggr
JSON Aggregation CLI
Jaggr is a command line tool to aggregate in real time a series of JSON logs. The main goal of this tool is to prepare data for plotting with jplot. So here we give a stream of real-time requests to jaggr standard input and request the aggregation of the code and latency fields. For the code, we request a histogram with some known error codes with an "other" bucket defined by *. The latency field is aggregated using minimum, maximum, and mean. In addition, @count adds an extra field indicating the total number of lines aggregated. The = sign can be used on any field to rename it, here we use it to say that the count is an rps as we are using the default aggregation time of 1 second. -
14
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. -
15
Restish
Restish is a CLI for interacting with REST-ish HTTP APIs
Restish is a CLI for interacting with REST-ish HTTP APIs with some nice features built-in, like always having the latest API resources, fields, and operations available when they go live on the API without needing to install or update anything. Check out how Restish compares to cURL & HTTPie. -
16
Twirp
A simple RPC framework with protobuf service definitions
Twirp is a simple RPC framework built on protobuf. You define a service in a .proto specification file, then Twirp will generate servers and clients for that service. It's your job to fill in the "business logic" that powers the server, and then generated clients can consume your service straight away. Twirp routing and serialization reduces the risk of introducing bugs. Both JSON and Protobuf are supported. The Protobuf protocol is designed to allow backwards compatible changes (unlike JSON, it is trivial to rename fields). Protobuf is super fast and the proto file definition also works well as documentation for your service. Twirp is similar to gRPC, but without the custom HTTP server and transport implementations: it runs on the standard library's extremely-well-tested-and-high-performance net/http Server. It can run on HTTP 1.1, not just http/2, and supports JSON serialization for easy debugging. -
17
go-jsonschema
A tool to generate Go data types from JSON Schema definitions
go-jsonschema is a tool to generate Go data types from JSON Schema definitions. This tool generates Go data types and structs that corresponds to definitions in the schema, along with unmarshalling code that validates the input JSON according to the schema's validation rules. -
18
jiq
Interactive JSON query tool using jq expressions
It's jid with jq. You can drill down interactively by using jq filtering queries. jiq uses jq internally, and it requires you to have jq in your PATH. If you prefer, there's an experimental, standalone, purely client-side web version of this. -
19
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). -
20
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. -
21
decimal
Arbitrary-precision fixed-point decimal numbers in go
Arbitrary-precision fixed-point decimal numbers in go. Note: Decimal library can "only" represent numbers with a maximum of 2^31 digits after the decimal point. The zero-value is 0, and is safe to use without initialization. Addition, subtraction, and multiplication with no loss of precision. Division with specified precision. Database/sql serialization/deserialization. JSON and XML serialization/deserialization. big.Int's API is built to reduce the number of memory allocations for maximal performance. This makes sense for its use-case, but the trade-off is that the API is awkward and easy to misuse. In contrast, it's difficult to make such mistakes with decimal. Decimals behave like other go numbers types: even though a = b will not deep copy b into a, it is impossible to modify a Decimal, since all Decimal methods return new Decimals and do not modify the originals. The downside is that this causes extra allocations, so Decimal is less performant. -
22
easyjson
Fast JSON serializer for golang
Package easyjson provides a fast and easy way to marshal/unmarshal Go structs to/from JSON without the use of reflection. In performance tests, easyjson outperforms the standard encoding/json package by a factor of 4-5x, and other JSON encoding packages by a factor of 2-3x. easyjson aims to keep generated Go code simple enough so that it can be easily optimized or fixed. Another goal is to provide users with the ability to customize the generated code by providing options not available with the standard encoding/json package, such as generating "snake_case" names or enabling omitempty behavior by default. -
23
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. -
24
getty
Asynchronous network I/O library
Getty is an asynchronous network I/O library developed in Golang. It operates on TCP, UDP, and WebSocket network protocols, providing a consistent interface EventListener. Within Getty, each connection (session) involves two separate goroutines. One handles the reading of TCP streams, UDP packets, or WebSocket packages, while the other manages the logic processing and writes responses into the network write buffer. If your logic processing might take a considerable amount of time, it's recommended to start a new logic process goroutine yourself within codec.go's (Codec)OnMessage method. Additionally, you can manage heartbeat logic within the (Codec)OnCron method in codec.go. If you're using TCP or UDP, you should send heartbeat packages yourself and then call session.go's (Session)UpdateActive method to update the session's activity timestamp. You can verify if a TCP session has timed out or not in codec.go's (Codec)OnCron method using session.go's (Session)GetActive method. -
25
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.
