Search Results for "can"
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Showing 26 open source projects for "can"
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1
Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
...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
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. -
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Open Policy Agent
An open source, general-purpose policy engine
...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
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
getty
Asynchronous network I/O library
...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. -
6
go-json
Fast JSON encoder/decoder compatible with encoding/json for Go
Fast JSON encoder/decoder compatible with encoding/json for Go. -
7
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). -
8
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. -
9
HCL
HCL is the HashiCorp configuration language
...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. -
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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
easyjson
Fast JSON serializer for golang
...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. -
12
encoding
Go package containing implementations of efficient encoding
...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. -
13
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. ... -
14
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. ... -
15
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. ... -
16
TySON
TypeScript as a Configuration Language. TySON stands for TypeScript
TySON (TypeScript Object Notation) is a subset of TypeScript, chosen to be useful as an embeddable configuration language that generates JSON. You can think of TySON as JSON + comments + types + basic logic using TypeScript syntax. TySON files use the .tson extension. The goal is to make it possible for all major programming languages to read configurations written in TypeScript using native libraries. That is, a go program should be able to read TySON using a go library, a rust program should be able to read TySON using a rust library, and so on. ... -
17
Nano JSON
Lightweight, facility, high performance golang based game server
Nano is an easy-to-use, fast, lightweight game server networking library for Go. It provides a core network architecture and a series of tools and libraries that can help developers eliminate boring duplicate work for common underlying logic. The goal of nano is to improve development efficiency by eliminating the need to spend time on repetitious network-related programming. Nano was designed for server-side applications like real-time games, social games, mobile games, etc of all sizes. In fact, the nano application is a collection of Components, and a component is a bundle of handlers, once you register a component to nano, nano will register all methods that can be converted to Handler to nano service container. -
18
jaggr
JSON Aggregation CLI
...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. -
19
Twirp
A simple RPC framework with protobuf service definitions
...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. -
20
CloverDB
A lightweight document-oriented NoSQL database written in pure Golang
...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). -
21
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. -
22
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. -
23
ZanRedisDB
Yet another distributed fault-tolerant key-value database
ZanRedisDB is a distributed Redis cluster with strong consistency. Compatible with Redis protocol: most redis command is supported in ZanRedisDB, so you can replace Redis with ZanRedisDB and get a more powerful cluster with unlimited data. Namespace and set supported: You can use the namespace and set as prefix to isolate different data to make operation more easily. -
24
GoJSONQ
A simple Go package to Query over JSON/YAML/XML/CSV Data
A simple Go package to Query over JSON Data. It provides a simple, elegant, and fast ODM-like API to access, and query JSON documents. You can query your document using the various query methods such as Find, First, Nth, Pluck, Where, OrWhere, WhereIn, WhereStartsWith, WhereEndsWith, WhereContains, Sort, GroupBy, SortBy, and so on. Also, you can aggregate data after query using Avg, Count, Max, Min, Sum, etc. -
25
Saw
Fast, multi-purpose tool for AWS CloudWatch Logs
saw is a multi-purpose tool for AWS CloudWatch Logs.