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Title | JuliaStats.org |
Description | Top Packages Community JuliaStats Statistics and Machine Learning made easy in Julia. Easy to use tools for statistics and machine learning. Extensible an |
Keywords | N/A |
WebSite | juliastats.org |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$7,428,223
Last updated: 2023-05-07 02:51:28
juliastats.org has Semrush global rank of 1,424,877. juliastats.org has an estimated worth of US$ 7,428,223, based on its estimated Ads revenue. juliastats.org receives approximately 857,103 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, juliastats.org is safe to visit. |
Purchase/Sale Value | US$7,428,223 |
Daily Ads Revenue | US$6,857 |
Monthly Ads Revenue | US$205,705 |
Yearly Ads Revenue | US$2,468,456 |
Daily Unique Visitors | 57,141 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
juliastats.org. | A | 1799 | IP: 185.199.111.153 |
juliastats.org. | A | 1799 | IP: 185.199.108.153 |
juliastats.org. | A | 1799 | IP: 185.199.109.153 |
juliastats.org. | A | 1799 | IP: 185.199.110.153 |
juliastats.org. | NS | 1799 | NS Record: dns1.registrar-servers.com. |
juliastats.org. | NS | 1799 | NS Record: dns2.registrar-servers.com. |
Top Packages Community JuliaStats Statistics and Machine Learning made easy in Julia. Easy to use tools for statistics and machine learning. Extensible and reusable models and algorithms Efficient and scalable implementation Community driven, and open source Learn more Packages We bring together a number of great packages Use the StatsKit meta-package to load all essential packages for statistics StatsBase Basic functionalities for statistics Descriptive statistics and moments Sampling with/without replacement Counting and ranking Autocorrelation and cross-correlation Weighted statistics StatsModels Interfaces for statistical models Formula and model frames Essential functions for statistical models DataFrames Essential tools for tabular data DataFrames to represent tabular datasets Database-style joins and indexing Split-apply-combine operations, pivoting Distributions Probability distributions A large collection of univariate, multivariate distributions descriptive stats, pdf/pmf, |
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