jp
Expression evaluator
A command-line tool to evaluate JMESPath expressions against JSON data
Command line interface to JMESPath - http://jmespath.org
742 stars
20 watching
48 forks
Language: Python
last commit: over 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 maja42/goval | A Go library for evaluating arbitrary arithmetic, string, and logic expressions with support for variables and custom functions. | 160 |
 balance-platform/ex_pression | An expression evaluation library for Elixir that safely evaluates user input expressions with support for JSON syntax and data types. | 9 |
 pulover/eval | An AHK function to execute expressions within dynamic strings, allowing for flexible variable substitution. | 31 |
 nicklockwood/expression | A Swift framework for evaluating mathematical expressions at runtime on multiple platforms | 832 |
 ccapndave/elm-eexl | An expression parser and evaluator for Elm language, used to evaluate logical expressions in educational software. | 2 |
 asaiyusuke/jsonpath-benchmark | Performs benchmarking of JSONPath libraries in Go. | 1 |
 jpmml/jpmml-evaluator-spark | A library that enables evaluation of predictive models stored in PMML format within Apache Spark | 94 |
 paesslerag/gval | An expression evaluation library for Go that supports arbitrary expressions and parameters | 758 |
 nullne/evaluator | An expression evaluator library written in Go. | 41 |
 augustd/burp-suite-jsonpath | Tool to parse and query JSON responses in Burp Suite | 29 |
| paesslerag/jsonpath | An implementation of the JSONPath query language for Go. | 187 |
 princeton-nlp/charxiv | An evaluation suite for assessing chart understanding in multimodal large language models. | 85 |
 tatsu-lab/alpaca_eval | An automatic evaluation tool for large language models | 1,568 |
 krrishdholakia/betterprompt | An API for evaluating the quality of text prompts used in Large Language Models (LLMs) based on perplexity estimation | 43 |
 openai/simple-evals | Evaluates language models using standardized benchmarks and prompting techniques. | 2,059 |