Flatfile
csvbox
OneSchema
Ingestro
Layercode UseCSV
Flatirons Fuse
Backand
Impler.io
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Flatfile Scikit-learnFlatfile is recommended for organizations and teams that frequently need to handle and import large datasets from various sources. It's especially beneficial for software companies, data analysts, and businesses that want to provide their customers with an easy and efficient way to import data into their platforms.
Based on our record, Scikit-learn should be more popular than Flatfile. It has been mentiond 40 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Created in 2018 by David Boskovic and Eric Crane, Flatfile has since become an all-in-one platform after raising $100 million across multiple investment rounds in six years. It describes itself as the โeasiest, fastest, and safest way for developers to build the ideal data file important experience.โ. - Source: dev.to / about 2 years ago
Not all that curious... https://flatfile.com If you're building a vertical SaaS and want to support import from a file, and don't want to spend time reinventing the wheel, this could be a big win. This would let new users bring in existing data from another SaaS (that supports CSV export) or where the incumbent is likely to be Excel. The development time it would take to make something like this solid, usable, and... - Source: Hacker News / almost 3 years ago
If you are a software developer, think about how you could add the data import, transformation, and validation functionality to your web app in only a few minutes with your JavaScript and React knowledge using built-in SDK and libraries. You can think of using SDK such as the front-end Embed React library in the Flatfile. If you need to define more complex data validation rules in a backend, you can request... - Source: dev.to / about 3 years ago
YoBulk is an open-source CSV importer for any SaaS application - It's a free alternative to https://flatfile.com/. Source: over 3 years ago
Hey Everybody, We are really excited to open source YoBulk today. YoBulk is an open source CSV importer for any SaaS application - It's a free alternative to https://flatfile.com/ Why are we building YoBulk: In our previous startup, we were receiving CSV files from various billboard screen owners every day, following a specific template that we defined. Despite the well-defined template, the CSV files we received... - Source: Hacker News / over 3 years ago
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
csvbox - Spreadsheet importer for your web app, SaaS or API
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
OneSchema - Import customer CSV data 10x faster
NumPy - NumPy is the fundamental package for scientific computing with Python
Ingestro - Sick of handling messy data? Create the best possible file import experience for your end customers with just a few lines of code.
OpenCV - OpenCV is the world's biggest computer vision library