Reviewers mention that Apache Ivy excels in dependency management for Java projects, allowing for fine-grained control over transitive dependencies, while pip python is praised for its simplicity and ease of use in managing Python packages.
Users report that Apache Ivy's integration with Apache Ant is a significant advantage for those already using Ant for build automation, whereas pip python's seamless integration with virtual environments is a standout feature for Python developers looking to manage project-specific dependencies.
G2 users highlight that Apache Ivy has a steeper learning curve, with a rating of 8.3 for ease of use, compared to pip python's higher rating of 9.4, indicating that pip is more user-friendly for beginners.
Users on G2 mention that the quality of support for Apache Ivy is rated lower at 6.9, which can be a drawback for teams needing quick assistance, while pip python enjoys a higher support rating of 8.2, reflecting a more responsive community and better documentation.
Reviewers say that Apache Ivy's product direction is rated at 7.7, suggesting some concerns about its future development, while pip python's higher rating of 8.9 indicates a more positive outlook on ongoing improvements and feature enhancements.
Users report that while Apache Ivy is favored in enterprise environments for its robust features, pip python is often the go-to choice for mid-market users due to its straightforward setup and extensive package repository, making it more accessible for smaller teams.
Pricing
Entry-Level Pricing
Apache Ivy
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pip python
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Apache Ivy
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pip python
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Ratings
Meets Requirements
8.5
11
9.4
21
Ease of Use
8.3
11
9.4
21
Ease of Setup
Not enough data
Not enough data
Ease of Admin
Not enough data
Not enough data
Quality of Support
6.9
7
8.2
18
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