Search Results for "json-py"
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Showing 37 open source projects for "json-py"
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1
trdsql
CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN
CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN. Can output to various formats. CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN. It is a tool like q, textql and others. The difference from these tools is that the syntax of PostgreSQL or MySQL can be used. Please refer to godoc and _example for usage as a library. Download binary from the releases page(Linux/Windows/macOS). -
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Render
Go package for easily rendering JSON, XML, binary data, and HTML
Render is a package that provides functionality for easily rendering JSON, XML, text, binary data, and HTML templates. Render can be used with pretty much any web framework provided you can access the HTTP.ResponseWriter from your handler. The rendering functions simply wraps Go's existing functionality for marshaling and rendering data. HTML: Uses the html/template package to render HTML templates. JSON: Uses the encoding/json package to marshal data into a JSON-encoded response. ... -
3
jwx
Implementation of various JWx (Javascript Object Signing
...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. ... -
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gofeed
Parse RSS, Atom and JSON feeds in Go
The gofeed library is a robust feed parser that supports parsing both RSS, Atom and JSON feeds. The library provides a universal gofeed. Parser that will parse and convert all feed types into a hybrid gofeed.Feed model. You also have the option of utilizing the feed-specific atom. Parser or RSS. Parser or JSON. Parser parsers generate atoms. Feed, RSS.Feed and JSON. Feed respectively. The gofeed library is comprised of a universal feed parser and several feed-specific parsers. ... -
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null
Reasonable handling of nullable values
null is a library with reasonable options for dealing with nullable SQL and JSON values. There are two packages: null and its subpackage zero. Types in null will only be considered null on null input, and will JSON encode to null. If you need zero and null be considered separate values, use these. Types in zero are treated like zero values in Go: blank string input will produce a null zero.String, and null Strings will JSON encode to "". -
6
jwt-go
Go of JSON Web Tokens
A go (or 'golang' for search engine friendliness) implementation of JSON Web Tokens. Our support of Go versions is aligned with Go's version release policy. So we will support a major version of Go until there are two newer major releases. We no longer support building jwt-go with unsupported Go versions, as these contain security vulnerabilities that will not be fixed. In short, it's a signed JSON object that does something useful (for example, authentication). -
7
gRPC-Gateway
gRPC to JSON proxy generator following the gRPC HTTP spec
...However, you might still want to provide a traditional RESTful JSON API as well. Reasons can range from maintaining backward compatibility, supporting languages or clients that are not well supported by gRPC, to simply maintaining the aesthetics and tooling involved with a RESTful JSON architecture. This project aims to provide that HTTP+JSON interface to your gRPC service. -
8
S5CMD
Parallel S3 and local filesystem execution tool
...Set Server Side Encryption using AWS Key Management Service (KMS). Set Access Control List (ACL) for objects/files on the upload, copy, move. Print object contents to stdout. Select JSON records from objects using SQL expressions. Create or remove buckets. Summarize objects sizes, grouping by storage class. Wildcard support for all operations. -
9
Gin Web Framework
The fastest full-featured web framework for Go
...It’s got a very small memory footprint, no reflection and Radix tree based routing as well. For those looking for unprecedented speed and good productivity, Gin is the way to go. Gin is packed with great features, including middleware support, JSON validation and more. It gives an easy to use API for JSON, XML and HTML rendering, and can be extended easily with plenty of sample codes. -
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10
webdav
Simple Go WebDAV server
webdav command line interface is really easy to use so you can easily create a WebDAV server for your own user. By default, it runs on a random free port and supports JSON, YAML and TOML configuration. An example of a YAML configuration with the default configurations. There are more ways to customize how you run WebDAV through flags and environment variables. The allowed_* properties are optional, the default value for each of them will be *. exposed_headers is optional as well, but is not set if not defined. -
11
Google APIs Client Library for Go
Auto-generated Google APIs for Go
These are auto-generated Go libraries from the Google Discovery Service's JSON description files. Due to the auto-generated nature of this collection of libraries they may contain breaking changes from one release to the next. The generator itself and the code it produces are considered beta for this reason. These client libraries are officially supported by Google. However, the libraries are considered complete and are in maintenance mode. -
12
Echo
High performance, minimalist Go web framework
...HTTP/2 support improves speed and provides better user experience. Many built-in middleware to use, or define your own. Middleware can be set at root, group or route level. Data binding for HTTP request payload, including JSON, XML or form-data. API to send variety of HTTP response, including JSON, XML, HTML, File, Attachment, Inline, Stream or Blob. Template rendering using any template engine. Customized central HTTP error handling. Easily extendable API. -
13
docker-gen
Generate files from docker container meta-data
docker-gen is a file generator that renders templates using docker container meta-data. Centralized logging - fluentd, logstash or other centralized logging tools that tail the containers JSON log file or files within the container. Log Rotation - logrotate files to rotate container JSON log files. Reverse Proxy Configs - nginx, haproxy, etc. reverse proxy configs to route requests from the host to containers. Service Discovery - Scripts (python, bash, etc..) to register containers within etcd, hipache, etc. Docker-gen can be bundled inside of a container along-side applications. nginx-proxy/nginx-proxy trusted build is an example of running docker-gen within a container along-side nginx. jwilder/docker-register is an example of running docker-gen within a container to do service registration with etcd. -
14
Goa
Design-based APIs and microservices in Go
Goa takes a different approach to building services by making it possible to describe the design of the service API using a simple Go DSL. Goa uses the description to generate specialized service helper code, client code and documentation. Goa is extensible via plugins, for example the goakit plugin generates code that leverage the Go kit library. The service design describes the transport independent layer of the services in the form of simple methods that accept a context and a payload and... -
15
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... -
16
Dockle
Container Image Linter for Security
Container Image Linter for Security, Helping build the Best-Practice Docker Image, Easy to start. You can install dockle with the asdf version manager with this plugin, which automates the process of installing (and switching between) various versions of github release binaries. With asdf already installed, run commands to install dockle. You can scan your built image with Dockle in Travis CI/CircleCI. Though, you can ignore the specified target checkpoints by using .dockleignore file. Or,... -
17
gopy
gopy generates a CPython extension module from a go package
This is an improved version that works with current versions of Go (e.g., 1.15 -- should work with any future version going forward), and uses unique int64 handles to interface with python, so that no pointers are interchanged, making everything safe for the more recent moving garbage collector. It also supports python modules having any number of Go packages, and generates a separate .py module file for each package, which link into a single common binding library. It has been tested extensively on reproducing complex Go code in large libraries -- most stuff "just works". For example, the GoGi GUI library is fully usable from python now (do make; make install in the python directory there, and try the examples/widgets/widgets.py demo). ... -
18
Erigon
Ethereum implementation on the efficiency frontier
...Ethereum Mainnet Full node ( see --prune* flags): 400Gb. Erigon by default is "all in one binary" solution, but it's possible start TxPool as separated processes. Same true about: JSON RPC layer (RPCDaemon), p2p layer (Sentry), history download layer (Downloader), consensus. Don't start services as separated processes unless you have clear reason for it: resource limiting, scale, replace by your own implementation, security. How to start Erigon's services as separated processes, see in docker-compose.yml. -
19
Prometheus Redis Metrics Exporter
Prometheus Exporter for Redis Metrics. Supports Redis 2.x, 3.x, 4.x, 5
Prometheus exporter for Redis metrics. Supports Redis 2.x, 3.x, 4.x, 5.x, 6.x, and 7.x. To have instances in the drop-down as human readable names rather than IPs, it is suggested to use instance relabelling. The Prometheus docs have a very informative article on how multi-target exporters are intended to work. Run the exporter with the command line flag --redis.addr= so it won't try to access the local instance every time the /metrics endpoint is scraped. If authentication is needed for the... -
20
Open-IM-Server
Open source Instant Messaging Server
Instant messaging server. Backend in pure Golang, wire transport protocol is JSON over websocket. Everything is a message in Open-IM-Server, so you can extend custom messages easily, there is no need to modify the server code. Using microservice architectures, Open-IM-Server can be deployed using clusters. By deployment of the Open-IM-Server on the customer's server, developers can integrate instant messaging and real-time network capabilities into their own applications free of charge and quickly, and ensure the security and privacy of business data. ... -
21
gse
Go efficient multilingual NLP and text segmentation
...Support Traditional Chinese. Support HMM cut text use Viterbi algorithm. Support NLP by TensorFlow (in work). Named Entity Recognition (in work). Supports with elastic search and bleve. run JSON RPC service. -
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gotestsum
'go test' runner with output optimized for humans, JUnit XML for CI
gotestsum runs tests using go test -json, prints formatted test output, and a summary of the test run. It is designed to work well for both local developments, and for automation like CI. When the --rerun-fails flag is set, gotestsum will re-run any failed tests. The tests will be re-run until each passes once, or the number of attempts exceeds the maximum attempts. Maximum attempts defaults to 2, and can be changed with --rerun-fails=n. gotestsum supports executing a compiled test binary (created with go test -c) by running it as a custom command. pkgname is the name of the package being tested, it will show up in the test output. .... -
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rpcx
Best microservices framework in Go, like alibaba Dubbo
rpcx is a Go RPC framework built for microservices, cloud systems, and high-performance distributed applications. It is positioned as an alternative to frameworks such as Dubbo and Motan, but with a Go-first development model. Developers can expose ordinary Go methods as remote services without defining proto files for every interface. The framework supports multiple transports, codecs, discovery backends, governance tools, and resiliency patterns. It includes features for failover, load... -
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DotWeb
Simple and easy go web micro framework
...HttpModule support, support for custom code capabilities at the global level before routing. Middleware support, support App, Group, Router level settings. Feature support, which can be enabled globally by binding HttpServer. Support STRING/JSON/JSONP/HTML format output. Integrated Mock Capability. Support custom Context. Integrated Timeout Hook. Global HTTP Error Handling. Global log processing. Support Hijack and websocket. Built-in Cache support. Built-in Session support - supports automatic switching between active and standby redis. Built-in TLS support. Support access to third-party template engines (need to implement dotweb.Renderer interface). -
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gojq
Pure Go implementation of jq
...You can also embed gojq as a library to your Go products. gojq is purely implemented with Go language and is completely portable. jq depends on the C standard library so the availability of math functions depends on the library. jq also depends on the regular expression library and it makes building scripts complex. gojq implements nice error messages for invalid query and JSON input. The error message of jq is sometimes difficult to tell where to fix the query. gojq does not keep the order of object keys. I understand this might cause problems for some scripts but basically, we should not rely on the order of object keys. Due to this limitation, gojq does not have the keys_unsorted function and --sort-keys (-S) option. gojq supports arbitrary-precision integer calculation while jq does not; jq loses the precision of large integers when calculation is involved.
