Data Conversion Toolkit
Python Scripts
Data Conversion Toolkit is a self-hosted Python and Django web application with 8 utilities for converting tabular data between CSV, Excel, JSON, JSONL, and Parquet formats. All conversions run locally in the browser with no data sent to external services, making it suitable for privacy-sensitive workflows. It includes user accounts, conversion history, and a test CSV generator, and is built on pyarrow, pandas, openpyxl, and Faker.
Data Conversion Toolkit
Stop uploading sensitive data to online converters just to change its format. Data Conversion Toolkit is a self-hosted, browser-based Django app that converts between CSV, Excel, JSON, JSONL, and Parquet entirely on your own machine — with per-user accounts and a history of past conversions. Each utility is independent, easy to understand, and ready to use straight from the browser.
What You Get
- CSV => Parquet — stream a CSV file into Parquet, inferring the schema from the data itself.
- Parquet => CSV — read Parquet in row-group batches and stream it back out as CSV.
- Excel => Parquet — convert an .xlsx worksheet to Parquet without loading the whole workbook into memory (row-by-row streaming read), with an optional sheet name.
- Parquet => Excel — export Parquet to an .xlsx workbook, automatically splitting into multiple sheets if the row count exceeds Excel's per-sheet limit.
- JSON => Parquet — convert a JSON array of objects, including nested objects/arrays, to Parquet.
- Parquet => JSON — convert Parquet back to a standard JSON array, preserving nested structures.
- JSONL => Parquet — stream newline-delimited JSON into Parquet.
- Generate Test CSV — create a realistic random dataset with configurable columns (name:type pairs), row count, and an optional random seed for reproducibility. Supported types: int, float, name, email, date, bool, address, word, uuid.
Plus, built into the app:
- Accounts — sign up / log in with Django auth; every tool requires login.
- History — every conversion is logged with status and a re-download link, scoped to your own account (other users can't access your files, even by guessing a download URL).
- Delete — remove a result and its file right after generating it or later from History, with a confirmation prompt before it's gone for good.
- Atomic output writes — every conversion writes to a temporary .part file and renames it into place only on success, so a crash mid-conversion never leaves a corrupt file behind.
Why This Toolkit?
Many data conversion services require uploading files to an external website — not acceptable when working with company data, customer datasets, financial information, or files covered by internal security policies.
These utilities run entirely on your own machine. Input files are processed locally and are never sent to an external conversion service or API.
They're also useful any time you just need a small, reliable conversion tool instead of standing up a full web application.
- No web server dependency
- No API keys required
- No external conversion service required
Perfect For
- Python developers & backend engineers
- Data engineers and ETL pipeline builders
- Data analysts and QA engineers
- Local data processing & test data generation
- Batch data conversion
- Projects with strict data privacy requirements
- Anyone who needs simple, reliable CLI-style conversion utilities without the CLI
Tech Stack
- Python 3 + Django
- pyarrow — CSV/JSON/JSONL => Parquet, streaming reads/writes
- pandas — batch-to-CSV conversion
- openpyxl — Excel read (streaming) and write, including multi-sheet export
- Faker — realistic test data generation
- Bootstrap 5 (CDN) UI with custom theming and Google Fonts (Space Grotesk, IBM Plex Sans, JetBrains Mono)
- SQLite (default Django dev database)
Prerequisites
- Python 3.10+ installed and on your PATH
- Git (optional, only for version control)
Don’t Keep This to Yourself — Share It!
License
A regular license permits the use of an item in a single project, whether for personal or commercial purposes, by you or on behalf of a client. Resale of the item, either individually or as part of a project, is prohibited, and the distribution of source files is not allowed.
Server Requirements
- Python 3 + Django
- pyarrow — CSV/JSON/JSONL => Parquet, streaming reads/writes
- pandas — batch-to-CSV conversion
- openpyxl — Excel read (streaming) and write, including multi-sheet export
- Faker — realistic test data generation
- Bootstrap 5 (CDN) UI with custom theming and Google Fonts (Space Grotesk, IBM Plex Sans, JetBrains Mono)
- SQLite (default Django dev database)
Payment Type
One time Payment: Upon receiving your full payment, we will provide you with the complete source code. After that, no additional payments will be required.
Delivery Time
We will send the Download Link to you Within 2-4 hrs. On Working Days(Monday- Friday) And the source code will deliver within 4-8 hours On Weekends (Saturday -Sunday).
Technical Support
Unlimited Email Support for One Year.
Script Update
Free Updates for One Year.
Customization Scope
Includes Complete Source Code.
Encryption
No Encryption and No Domain Limitations.
Installation
No Free Installation Services. Our charges range from $5 to $10, depending on the software's complexity and criticality.
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