Obviously AI vs Weka
Obviously AI
obviously.aiWeka
weka.waikato.ac.nzSide by side
| Figure | Obviously AI | Weka |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 3 |
| Spec score · Predictive Analytics Software | 8.3 (#9) | 8.2 (#10) |
| Spec score · Data Science Analytics | 8.1 (#12) | 8.2 (#9) |
| Headquarters | Crunchbase places the company in San Francisco, California. | Hamilton, New Zealand |
| Praise: ease of learning | The sole Capterra reviewer described the software as relatively easy to learn and straightforward to integrate. | G2 reviewers repeatedly describe Weka as easy to learn and useful for rapid experimentation without writing code. |
| Rating on Capterra | 3.0 out of 5 from 1 reviews | 4.4 out of 5 from 15 reviews |
| Rating on G2 | 4.0 out of 5 from 4 reviews | 4.3 out of 5 from 13 reviews |
| What it does | Obviously AI is a no-code hosted platform for turning historical data into predictive machine-learning models without programming. | Weka is a Java machine-learning workbench for data preparation, classification, regression, clustering, association-rule mining and visualization. |
Plans
Obviously AI
- FreeFree
- Enterprise PlanPriced on request
- SMB PlanPriced on request
- Startup PlanPriced on request
In their own words
Obviously AI
Obviously AI is a freemium, web-based no-code tool for turning structured data into predictive models. Listed model uses include classification, regression, and time series prediction. Models can be published as instant web apps with shareable dynamic links, or connected through real-time REST APIs that send predictions to tools such as Power BI and Looker. Automatic model monitoring and Zapier if-this-then-that automations are also described. Integrations include Amazon Redshift, Google BigQuery, Google Drive, HubSpot, Shopify, Snowflake, Tableau, and Zapier. A structured dataset is required; the documentation recommends at least 1,000 rows and 5 columns. CSV is the listed import format, with uploads up to 10 MB. The Free plan costs nothing and includes 1,200 predictions, one user seat, unlimited models, 1M rows of training data, CSV-only data, and limits of 10,000 data rows. Obviously AI is based in San Francisco. Security information lists SOC 2 Type II, GDPR data-retention compliance, HIPAA compliance, TLS in transit, and AES-256 at rest.
Weka
Weka is open-source machine-learning software for building and evaluating models, with support for forecasting and time-series modeling. It is available free under the GNU General Public License, with Weka 3.8 as the stable release and 3.9 as the development version. The stable branch receives fixes and feature updates intended to preserve compatibility; development builds may introduce breaking changes. Weka provides a Java API, Javadoc for its API and command-line parameters, and can also be used through Jupyter notebooks. Official releases require Java 8 or later. Downloads are listed for Windows, Mac OS, and Linux, with Intel and ARM options. Both branches include a package manager for community extensions, though installing packages requires internet access. The software includes built-in help and a comprehensive manual, with additional assistance through documentation, mailing list archives, forums, and a mailing list. Distributed derivative works must use the GPL; commercial projects needing Weka code in a non-GPL program may be able to obtain a suitable license. Models serialized in version 3.7 are incompatible with 3.8, and the migrator has an exception for RandomForest.