TabLab

JSON viewer

Open and view JSON files with our interactive viewer. Analyze, navigate, and visualize your JSON data with ease.

Format
Click anywhere to select a fileor drag and drop a file here
Accepts JSON file (.json)
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JSON Viewer Features

Tabular display
View JSON data in a structured, easy-to-read format
Lightning-fast performance
Open and analyze even large JSON files instantly
Advanced filtering
Filter JSON data based on multiple conditions
Search functionality
Find specific keys or values in your JSON data
Aggregation capabilities
Perform sum, average, count and other calculations on your data
AI-powered analysis
Ask questions about your data in plain English and get instant insights

How to view JSON files online

  1. Upload your JSON file using the upload button
  2. View your data in a structured, tabular format
  3. Navigate through your JSON data easily
  4. Search for specific keys or values
  5. Ask questions about your data using the AI assistant
  6. Perform aggregations and advanced analysis
  7. Export or share your visualized data

How to view JSON files in Python

Here are three effective ways to view JSON files in Python using different libraries. Each approach has its own advantages depending on your specific needs and file sizes.

Viewing JSON files with Pandas

Pandas provides a straightforward approach for viewing files and works well for most common data tasks:

First, we need to install pandas

pip install pandas

Then we can load and view the json file

import pandas as pd
df = pd.read_json('path/to/file.json')
print(df.head())

Viewing JSON files with DuckDB

DuckDB is an in-process SQL OLAP database that's perfect for larger files and analytical workloads:

First, we need to install duckdb

pip install duckdb

Then we can query the json file directly

import duckdb
result = duckdb.sql(f"SELECT * FROM 'path/to/file.json' LIMIT 10").fetchdf()
print(result)

Viewing JSON files with ClickHouse

ClickHouse is a high-performance column-oriented database system that's excellent for large-scale data processing:

First, we need to install clickhouse-connect

pip install clickhouse-connect

Then we can load and query the json file

import clickhouse_connect
client = clickhouse_connect.get_client(host='localhost', port=8123)
query = f"SELECT * FROM file('path/to/file.json') LIMIT 10"
result = client.query(query).result_set
print(result)