Lilac
3.27
0
Lilac enhances data quality with tools for clustering, search, editing, and detection, tailored for AI professionals.
Lilac Reviews
3.27
Based on 11 reviews
How would you rate Lilac?
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Ella Carter
January 14, 2025
What do you like most about using Lilac?
The data detection tools are quite accurate, which saves time and improves quality.
What do you dislike most about using Lilac?
Sometimes it can be slow when processing extremely large datasets.
What problems does Lilac help you solve, and how does this benefit you?
It allows me to maintain data quality, which is critical for my AI applications.
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Mia Watson
January 11, 2025
What do you like most about using Lilac?
I find the semantic search capabilities quite useful for locating specific data points.
What do you dislike most about using Lilac?
However, the interface could be more user-friendly; it's not very intuitive.
What problems does Lilac help you solve, and how does this benefit you?
It assists in organizing data effectively, but I usually have to spend time figuring out how to use certain features.
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Emily Hughes
December 24, 2024
What do you like most about using Lilac?
The speed of data clustering is impressive! It really saves time when working with large datasets.
What do you dislike most about using Lilac?
Sometimes it gets a bit laggy with very large datasets, which can be frustrating.
What problems does Lilac help you solve, and how does this benefit you?
It greatly improves my workflow by allowing me to quickly find and edit data points, leading to better data quality.
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Oliver Bennett
December 22, 2024
What do you like most about using Lilac?
I appreciate the potential of Lilac's clustering features; they can handle large datasets efficiently.
What do you dislike most about using Lilac?
The user interface can be a bit confusing at times, especially for new users who are not familiar with data tools.
What problems does Lilac help you solve, and how does this benefit you?
Lilac helps streamline the data cleaning process, but I wish the editing tools were more intuitive.
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Liam Roberts
December 21, 2024
What do you like most about using Lilac?
The data editing features are robust, and I appreciate having a variety of tools available.
What do you dislike most about using Lilac?
The documentation could be improved; I struggled to find answers to my questions.
What problems does Lilac help you solve, and how does this benefit you?
It helps in identifying data inconsistencies, but the learning curve is steep for new users.
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Jack King
December 10, 2024
What do you like most about using Lilac?
The keyword search functionality is very helpful, especially in large datasets.
What do you dislike most about using Lilac?
There are some occasional bugs that disrupt workflow, but overall it's manageable.
What problems does Lilac help you solve, and how does this benefit you?
It makes data exploration easier, allowing me to focus on analysis rather than data management.
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James Fisher
December 7, 2024
What do you like most about using Lilac?
I love the fuzzy-concept search refinement; it has made finding relevant data much easier.
What do you dislike most about using Lilac?
The initial setup was a bit challenging, especially for those unfamiliar with Python.
What problems does Lilac help you solve, and how does this benefit you?
It helps in organizing and structuring data efficiently for my AI projects, which is crucial for success.
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Sophia Parker
December 6, 2024
What do you like most about using Lilac?
The concept behind Lilac is great, and I can see its potential in data management.
What do you dislike most about using Lilac?
However, the tool is quite buggy, and I faced several crashes while working on important projects.
What problems does Lilac help you solve, and how does this benefit you?
It attempts to help with data quality, but I often find myself reverting to other tools due to its instability.
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Ben Morris
November 21, 2024
What do you like most about using Lilac?
I think the idea of data clustering is great and can be very powerful.
What do you dislike most about using Lilac?
However, the execution is lacking; it crashes too often for me to rely on it.
What problems does Lilac help you solve, and how does this benefit you?
It aims to enhance data quality, but I have found it more frustrating than helpful.
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Noah Turner
November 21, 2024
What do you like most about using Lilac?
The ability to cluster large datasets in a short time is impressive and very useful in my line of work.
What do you dislike most about using Lilac?
A few features feel underdeveloped and could use more refinement.
What problems does Lilac help you solve, and how does this benefit you?
It helps in quickly generating insights from data, which aids in decision-making for projects.
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Charlotte Gray
November 19, 2024
What do you like most about using Lilac?
The clustering feature is unique and can process a large number of data points quickly.
What do you dislike most about using Lilac?
I feel like the overall user experience could be improved; it’s not as smooth as I hoped.
What problems does Lilac help you solve, and how does this benefit you?
It helps in understanding data relationships, but the learning curve is quite steep.
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