Michael
7ad19ac7f4
Two unrelated UX issues addressed in one sweep across all nine tool
pages because they share the same edit surface.
(1) Sticky footer replaces the top + bottom back-link buttons.
Reported: a big white empty footer space at the bottom of every page;
the Back to Home button at the top scrolled out of view on long pages.
New ``render_sticky_footer()`` helper in ``components/_legacy.py``
injects a fixed-position bar at ``bottom: 0`` of the viewport with:
- A border-top so it visually reads as a non-movable bar.
- A semi-transparent background (rgba 0.96 + ``backdrop-filter: blur``)
so content underneath shows through faintly when the user scrolls.
- A styled ``<a href="home">`` anchor (not an ``st.button``) because
Streamlit widgets can't be CSS-positioned reliably — Streamlit owns
the widget's DOM container and re-mounts it on every rerun. A real
anchor sits exactly where the CSS puts it and triggers Streamlit's
URL routing to the home page.
- ``padding-bottom: 3.5rem`` on the main container so the last widget
isn't hidden behind the bar.
Called once per tool page, immediately after ``hide_streamlit_chrome()``
so it renders even on pages that ``st.stop()`` early before any other
content runs. The old top-and-bottom ``back_to_home_link()`` calls are
removed from every tool page; their entry/exit points were dropping
the button when the script short-circuited.
(2) Tool-page headers now localize.
Reported: switching the sidebar language picker to Spanish left the
tool page's title + caption in English. Root cause: every page had
hard-coded ``st.title("✂️ Clean Text")`` / ``st.caption("Trim
whitespace...")`` strings.
Added per-tool ``tools.<id>.page_title`` and
``tools.<id>.page_caption`` keys to ``en.json`` and ``es.json`` for
all nine tools. Routed each page's title/caption call through ``t()``.
Verified: with ``ui_lang=es`` set, the Clean Text page now renders
"✂️ Limpiar texto" + the Spanish caption.
Updated ``tests/gui/test_smoke.py::EXPECTED_SUBSTRINGS`` so the
``es`` column for each tool page asserts the actual Spanish string
(was a duplicate of the English string back when the page bodies
were English-only).
2220 tests pass.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
🌐 Language: English · Español
DataTools
Local CSV / Excel cleaning. CLI + browser GUI, no cloud, no install ceremony. GUI ships with English and Spanish language packs.
Tools
| # | Tool | Status |
|---|---|---|
| 01 | Find Duplicates — exact + fuzzy match, 5 normalizers, survivor rules, audit | Ready |
| 02 | Clean Text — whitespace, smart chars, BOM, line endings, case ops | Ready |
| 03 | Standardize Formats — dates, phones, emails, addresses, names, currencies, booleans | Ready |
| 04 | Fix Missing Values — disguised-null detection, profile, mean/median/mode/ffill/bfill/interpolate, drop strategies | Ready |
| 05 | Map Columns — fuzzy auto-rename, target schema with type coercion, required fields with defaults, drop/reorder | Ready |
| 06 | Find Unusual Values | Coming Soon |
| 07 | Combine Files | Coming Soon |
| 08 | Quality Check | Coming Soon |
| 09 | Automated Workflows — chain tools with recommended (not forced) order, save/load JSON, automate weekly cleanups | Ready |
Download (non-technical users)
Pre-built installers — no Python required:
| Platform | Download | First-launch note |
|---|---|---|
| macOS | DataTools-X.Y.Z-mac.dmg |
Drag DataTools.app into /Applications, then double-click. |
| Windows | DataTools-X.Y.Z-win-setup.exe |
Run the installer; launches from Start Menu. |
| Linux | DataTools-X.Y.Z-linux-x86_64.AppImage |
chmod +x the file, then double-click. |
Latest release: see GitHub Releases (or the Gumroad listing). The installers are ~150–200 MB; the launcher boots a local server at http://127.0.0.1:8501 and opens your browser. Nothing is sent to the cloud.
Install from source (developers)
pip install -r requirements.txt
Python 3.10+ required.
Run
GUI (recommended):
streamlit run src/gui/app.py
CLI — seven entry points:
python -m src.cli customers.csv [--apply] # dedup
python -m src.cli_text_clean messy.csv [--apply] # text clean
python -m src.cli_format intl.csv [--apply] # format standardize (auto-streams >100 MB)
python -m src.cli_missing holes.csv [--apply] # missing values
python -m src.cli_column_map vendor.csv [--apply] # column mapper
python -m src.cli_pipeline any_file.csv [--apply] # chain tools end-to-end
python -m src.cli_analyze any_file.csv [--json] # scan only
Every CLI runs preview-only by default; add --apply to write output.
Language
The GUI sidebar has a language picker. Packs ship for English and Español (src/i18n/packs/); the choice persists for the session. Adding a language: drop a <code>.json next to en.json mirroring its key tree, then list it in LANGUAGES. See Developer Guide §i18n.
Review & Normalize gate
Every uploaded file passes through a CSV-normalization gate before any tool sees it. The analyzer flags ~15 issue types (whitespace, NBSP / zero-width chars, BOM, encoding, smart punct, dirty headers, null sentinels, mojibake, …) tagged by confidence (high / medium / low) and fix action. The GUI shows each finding with Auto-fix / Skip / Customize, a live before/after preview, and an encoding-override picker. Tool pages refuse to load until the gate passes.
Output
Every run writes:
{input}_<tool>.csv— the cleaned data{input}_changes.csv(text cleaner) or{input}_match_groups.csv(dedup) — audit traillogs/<tool>_YYYYMMDD_HHMMSS.log— debug-level run log
Original input file is never modified.
Docs
- User Guide — install, GUI workflow, gate
- CLI Reference — every flag with recipes
- Requirements — file sizes, encodings, detectors, perf targets
- Technical — architecture, gate internals, fix registry
- Developer Guide — adding fixes / detectors / standardizers
Dependencies
pandas, openpyxl, rapidfuzz, phonenumbers, typer, loguru, charset-normalizer, streamlit. Optional: ftfy for mojibake repair.
License
Proprietary.