
ipgeolocation.io
ipinfo.io
ipstack
ipapi
ipdata.co
ipwhois.io
IP-API.com
IP2Location
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
IPGeolocation.io is a complete IP intelligence platform that helps businesses turn any IPv4 or IPv6 address into accurate location, network, security, and user context data. Its IP Location API provides real-time country, city, state or province, ZIP/postal code, latitude and longitude, timezone, current local time, currency, language, country calling code, ISP, company, network, and domain-related details in developer-friendly JSON and XML formats over HTTPS.
Beyond basic IP geolocation, IPGeolocation.io offers a growing suite of APIs for fraud prevention, cybersecurity, personalization, analytics, compliance, and network intelligence. The platform includes an ASN API for autonomous system, route, organization, peer, upstream, and downstream data; an IP Security API for VPN, proxy, Tor, relay, bot, spam, cloud provider, anonymous traffic, known attacker, and threat score detection; and an Abuse Contact API to retrieve abuse reporting contacts for suspicious IP ranges.
IPGeolocation.io also supports live VPN and proxy detection, helping businesses identify anonymized traffic during signups, logins, payments, live chats, referral programs, and other high-risk user actions. Additional APIs include Timezone API, Astronomy API, User-Agent API, bulk IP lookup, hostname and domain lookup, and downloadable IP intelligence databases for teams that need high-volume enrichment or offline processing.
With free and paid plans, IPGeolocation.io is suitable for developers, SaaS platforms, cybersecurity teams, adtech companies, ecommerce businesses, fintech apps, and enterprises that need reliable IP geolocation, threat intelligence, abuse detection, ASN data, and real-time decisioning from a single platform.
ipgeolocation.io
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IP Geolocation โ IP Geolocation API - Forever free plan for developers with 30k requests per month (1k/day) limit. - Source: dev.to / over 2 years ago
I wouldn't be trying to do this by scraping. Instead, just use an API: https://ipgeolocation.io/. Source: over 3 years ago
Https://ipgeolocation.io/ I run my own DNS server, so query processing would not be the problem. Source: over 3 years ago
IP Geolocation โ IP Geolocation API - Forever free plan for developers with 30k requests per month (1k/day) limit. - Source: dev.to / over 3 years ago
Getting a user's location from their IP should be possible with something like this https://ipgeolocation.io/ (free for up to 1000 requests per day which my puny website will never get). Latitude + longitude data from this service could be used to place the location dot accurately on the globe, although I'd have to look more into the math aspect of that before. This will probably be one of the harder parts to... Source: almost 4 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 2 months 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 / 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
ipinfo.io - Simple IP address information.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ipstack - ipstack is a free, real-time IP address to location JSON API and database service supporting IPv4 and IPv6 lookup.
NumPy - NumPy is the fundamental package for scientific computing with Python
ipapi - Web analytics with IP address lookup and location API
OpenCV - OpenCV is the world's biggest computer vision library