Need advice about which tool to choose?Ask the StackShare community!

JSON

1.4K
1.2K
+ 1
8
Markdown

14.8K
10.7K
+ 1
962
Add tool

JSON vs Markdown: What are the differences?

What is JSON? A lightweight data-interchange format. JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language.

What is Markdown? Text-to-HTML conversion tool/syntax for web writers, by John Gruber. Markdown is two things: (1) a plain text formatting syntax; and (2) a software tool, written in Perl, that converts the plain text formatting to HTML.

JSON and Markdown can be primarily classified as "Languages" tools.

According to the StackShare community, Markdown has a broader approval, being mentioned in 756 company stacks & 718 developers stacks; compared to JSON, which is listed in 20 company stacks and 104 developer stacks.

Advice on JSON and Markdown
Needs advice
on
PythonPython
and
JSONJSON

Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?

See more
Replies (3)
Recommends
PythonPython

Python is very flexible and definitely up the job (although, in reality, any language will be able to cope with this task!). Python has some good libraries built in, and also some third party libraries that will help here. 1. Convert CSV -> JSON 2. Validate against a schema 3. Deploy to AWS

  1. The builtins include json and csv libraries, and, depending on the complexity of the csv file, it is fairly simple to convert:
import csv
import json

with open("your_input.csv", "r") as f:
    csv_as_dict = list(csv.DictReader(f))[0]

with open("your_output.json", "w") as f:
    json.dump(csv_as_dict, f)
  1. The validation part is handled nicely by this library: https://pypi.org/project/jsonschema/ It allows you to create a schema and check whether what you have created works for what you want to do. It is based on the json schema standard, allowing annotation and validation of any json

  2. It as an AWS library to automate the upload - or in fact do pretty much anything with AWS - from within your codebase: https://aws.amazon.com/sdk-for-python/ This will handle authentication to AWS and uploading / deploying the file to wherever it needs to go.

A lot depends on the last two pieces, but the converting itself is really pretty neat.

See more
Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 136.1K views
Recommends
Node.jsNode.js
at

This should be pretty doable in any language. Go with whatever you're most familiar with.

That being said, there's a case to be made for using Node.js since it's trivial to convert an object to JSON and vice versa.

See more
Recommends
GoGo

I would use Go. Since CSV files are flat (no hierarchy), you could use the encoding/csv package to read each row, and write out the values as JSON. See https://medium.com/@ankurraina/reading-a-simple-csv-in-go-36d7a269cecd. You just have to figure out in advance what the key is for each row.

See more
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of JSON
Pros of Markdown
  • 4
    Simple
  • 4
    Widely supported
  • 345
    Easy formatting
  • 245
    Widely adopted
  • 194
    Intuitive
  • 136
    Github integration
  • 40
    Great for note taking
  • 2
    Defacto GitHub lingo

Sign up to add or upvote prosMake informed product decisions

Cons of JSON
Cons of Markdown
    Be the first to leave a con
    • 1
      Inconsistend flavours eg github, reddit, mmd etc
    • 1
      Limited syntax
    • 1
      Not suitable for longer documents
    • 1
      Non-extensible
    • 1
      No right indentation
    • 1
      No underline
    • 1
      Cannot centralise (HTML code needed)
    • 1
      Unable to indent tables

    Sign up to add or upvote consMake informed product decisions

    What is JSON?

    JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language.

    What is Markdown?

    Markdown is two things: (1) a plain text formatting syntax; and (2) a software tool, written in Perl, that converts the plain text formatting to HTML.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use JSON?
    What companies use Markdown?
    See which teams inside your own company are using JSON or Markdown.
    Sign up for Private StackShareLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with JSON?
    What tools integrate with Markdown?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    Blog Posts

    Aug 28 2019 at 3:10AM

    Segment

    PythonJavaAmazon S3+16
    5
    2146
    What are some alternatives to JSON and Markdown?
    YAML
    A human-readable data-serialization language. It is commonly used for configuration files, but could be used in many applications where data is being stored or transmitted.
    Protobuf
    Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler.
    Avro
    It is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    OData
    It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.
    See all alternatives