Discover functions built by the community. Run them instantly via API or clean UI.
Smartly detect and clean duplicates from your dataset (CSV or Excel). This function scans your data to find: 🔁 Exact duplicates — identical rows or repeated entries. 🤖 Fuzzy duplicates — similar rows with small differences (typos, spacing, casing, or minor text variations).
Generate randomized function ideas as CSV. Args: n_results (int): Number of ideas to generate (max 100000). Returns: str: Path to generated CSV file containing columns: id, idea_name, description, category, tags.
Smartly detect and clean duplicates from your dataset (CSV or Excel). This function scans your data to find: - 🔁 **Exact duplicates** — identical rows or repeated entries. - 🤖 **Fuzzy duplicates** — similar rows with small differences (typos, spacing, casing, or minor text variations). It automatically keeps the **first valid occurrence** of each duplicate and exports everything neatly organized in a single downloadable ZIP. 📦 Inside the ZIP you’ll get: 1. `deduplicated_<name>.csv` — your cleaned dataset (duplicates removed) 2. `duplicates_removed_<name>.csv` — all duplicate rows that were dropped 3. `fuzzy_pairs_<name>.csv` — pairs of rows that look alike (based on similarity) Args: file (FilePath): The uploaded CSV or Excel file to analyze. subset (str): Optional — comma-separated list of column names to check. If left empty, all columns are analyzed. similarity_threshold (int): Optional — how strict fuzzy matching should be (0–100). Higher = only very similar values are flagged. Default = 90 (good balance). Returns: str: Generated ZIP archive containing the cleaned dataset and detailed duplicate reports.
Generate a synthetic CSV file with random data and some NaN values. Args: rows (int): Number of rows to generate. nan_ratio (float): Approximate fraction of cells to replace with NaN (0–1). Returns: str: Path to the generated CSV file.
Generates 10 white noise tracks (16-bit mono WAV) with random durations between user-defined limits, smooth fade-in/out, and packages them into a ZIP file. ⚙️ Inputs min_duration (int) — minimum duration of each noise file, in seconds. max_duration (int) — maximum duration of each noise file, in seconds. sample_rate (int) — number of samples per second (e.g., 44100 for CD quality). amplitude (float) — overall loudness from 0.0 (silent) to 1.0 (maximum volume). fade_duration (float) — fade-in and fade-out time in seconds for smoother transitions. 📦 Output Returns a .zip file containing all generated white noise WAV tracks.
Generates a white noise sound (16-bit mono WAV) of customizable duration, sample rate, and amplitude, then returns the file. ⚙️ Inputs duration_seconds (int) — total duration of the generated noise in seconds. sample_rate (int) — number of samples per second (e.g., 44100 for CD quality). amplitude (float) — loudness from 0.0 (silent) to 1.0 (max volume). 📦 Output Returns the .wav file containing the generated white noise.
