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Showing 11 open source projects for "so"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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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. -
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webrpc
webrpc is a schema-driven approach to writing backend services
...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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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. -
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decimal
Arbitrary-precision fixed-point decimal numbers in go
...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. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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bluemonday
Fast golang HTML sanitizer (inspired by the OWASP Java HTML Sanitizer
...It is fast and highly configurable. bluemonday takes untrusted user-generated content as an input, and will return HTML that has been sanitized against an allowlist of approved HTML elements and attributes so that you can safely include the content in your web page. If you accept user-generated content, and your server uses Go, you need bluemonday. It protects sites from XSS attacks. There are many vectors for an XSS attack and the best way to mitigate the risk is to sanitize user input against a known safe list of HTML elements and attributes. ... -
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TySON
TypeScript as a Configuration Language. TySON stands for TypeScript
...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. Our first implementation is written in pure go, and a rust implementation will follow. -
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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. ... -
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dsq
Commandline tool for running SQL queries against JSON, CSV, Excel
Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. This is a CLI companion to DataStation (a GUI) for running SQL queries against data files. So if you want the GUI version of this, check out DataStation. -
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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. -
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.
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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. ... -
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GoJSONQ
A simple Go package to Query over JSON/YAML/XML/CSV Data
...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.
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