json_profile VS espath

Compare json_profile vs espath and see what are their differences.

json_profile

Find data bottlenecks in large json objects. (by tylerneylon)

espath

Query deeply nested JavaScript objects with XPath (by tomhodgins)
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json_profile espath
1 1
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about 7 years ago over 5 years ago
Python HTML
- MIT License
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json_profile

Posts with mentions or reviews of json_profile. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.
  • How to Use JSON Path
    11 projects | news.ycombinator.com | 3 May 2024
    Not sure if this is a common problem, but I built a tool to help me quickly understand the main schema, and where most of the data is, for a new JSON file given to me. It makes the assumption that sometimes peer elements in a list will have the same structure (eg they'll be objects with similar sets of keys). If that's true, it learns the structure of the file, prints out the heaviest _aggregated_ path (meaning it thinks in terms of a directory-like structure), as well as giving you various size-per-path hints to help introduce yourself to the JSON file:

    https://github.com/tylerneylon/json_profile

espath

Posts with mentions or reviews of espath. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.
  • How to Use JSON Path
    11 projects | news.ycombinator.com | 3 May 2024
    In the past I've used XPath, and CSS selectors using this library to filter and find data in JSON: https://github.com/tomhodgins/espath

    The approach is to take the JavaScript object, convert it to XML DOM, run the query (either using standard XPath, or standard CSS selectors) and then either convert the DOM back into objects, or another way I've seen it done is to keep a register of the original objects and retrieve the original objects.

    In this way, JSON, and any JavaScript object with non-circularity can be sifted and searched and filtered in reliable ways using already-standardized methods just by using those technologies together in a fun new way.

    There is not necessarily a need for inventing a new custom syntax/DSL for querying unless you don't want to make use of CSS and XPath, or have very specific needs.

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Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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