Best Free Online Developer Tools to Use in 2026
A practical, opinionated list of the best free online developer tools worth using in 2026, organized by category so you can find what you need fast.
Aug 08, 2026
Parquet Viewer
Inspect Apache Parquet file metadata — schema, row groups, compression, and more
- Home
- /
- Parquet Viewer
Click to upload or drag and drop a .parquet file
All processing is local — file never leaves your device
Quick Example
File Metadata
Upload a .parquet file to inspect its metadataVersion
-
Schema Fields
0
Row Groups
0
Total Rows
0
What Is Apache Parquet?
Apache Parquet is a free and open-source column-oriented data storage format. It provides efficient data compression and encoding schemes, making it ideal for big data processing. Parquet files store both the data and the metadata (schema, compression, encoding) in a single file, enabling self-describing data exchange.
How to Use
- Upload a .parquet file — Click the upload area or drag and drop a file.
- Review the metadata — The tool parses the file footer and displays schema, row groups, compression, and metadata.
- All processing is local — Your file never leaves your browser.
Frequently Asked Questions
Is my data sent to a server?
No. All processing is performed locally in your browser. Your Parquet file never leaves your device.
What is a Parquet file?
Apache Parquet is a columnar storage format designed for big data processing. It offers efficient compression and encoding schemes, making it ideal for analytics workloads in Hadoop, Spark, and other data processing frameworks.
What metadata can I see?
The viewer displays the file version, schema fields (column names and types), row group information (row count, compressed/uncompressed sizes), compression codecs, encodings, and key-value metadata.
Can I view the actual data?
This tool focuses on metadata inspection. Use a dedicated Parquet reader like Apache Arrow or a data analysis tool to view the actual row data.
Is this tool free to use?
Yes. This tool is completely free with no usage limits or registration required.
Last updated: 17 Aug 2026
Blog
Latest from Our Blog
How to Choose a Hash Algorithm for Data Security
A practical decision guide to choosing the right hash algorithm: MD5, SHA-1, SHA-2, SHA-3, bcrypt, argon2, PBKDF2, and SRI, with comparisons and clear recommendations.
Aug 08, 2026
CSS vs Tailwind CSS: Which One Should You Use?
A thorough, practical comparison of hand-written CSS and Tailwind CSS: learning curve, maintainability, performance, team workflows, and when each approach wins.
Aug 08, 2026
How to Optimize Core Web Vitals for Your Website
Learn practical, step-by-step techniques to improve LCP, INP, and CLS on your website. A developer-focused guide with real measurements and fixes.
Aug 08, 2026
How to Use Base64 Encoding in Real Projects
Learn practical, production-ready ways to use Base64 encoding: data URLs for images, JWT payloads, API tokens, and email attachments, with real code examples.
Aug 08, 2026
AES Encryption Explained: How It Works and Why It Matters
Learn how AES encryption works, the differences between AES-128, AES-192, and AES-256, and how to encrypt and decrypt data online.
Jun 23, 2026